id	sid	tid	token	lemma	pos
10060	1	1	Of	of	IN
10060	1	2	the	the	DT
10060	1	3	People	People	NNPS
10060	1	4	,	,	,
10060	1	5	For	for	IN
10060	1	6	the	the	DT
10060	1	7	People	People	NNS
10060	1	8	:	:	:
10060	1	9	Digital	Digital	NNP
10060	1	10	Literature	Literature	NNP
10060	1	11	Resource	Resource	NNP
10060	1	12	Knowledge	Knowledge	NNP
10060	1	13	Recommendation	recommendation	NN
10060	1	14	Based	base	VBN
10060	1	15	on	on	IN
10060	1	16	User	User	NNP
10060	1	17	Cognition	Cognition	NNP
10060	1	18	Wen	Wen	NNP
10060	1	19	Lou	Lou	NNP
10060	1	20	,	,	,
10060	1	21	Hui	Hui	NNP
10060	1	22	Wang	Wang	NNP
10060	1	23	,	,	,
10060	1	24	and	and	CC
10060	1	25	Jiangen	Jiangen	NNP
10060	1	26	He	-PRON-	PRP
10060	1	27	INFORMATION	INFORMATION	VBD
10060	1	28	TECHNOLOGY	TECHNOLOGY	NNP
10060	1	29	AND	and	CC
10060	1	30	LIBRARIES	library	NNS
10060	1	31	|	|	NNP
10060	1	32	SEPTEMBER	SEPTEMBER	NNP
10060	1	33	2018	2018	CD
10060	1	34	66	66	CD
10060	1	35	Wen	Wen	NNP
10060	1	36	Lou	Lou	NNP
10060	1	37	(	(	-LRB-
10060	1	38	wlou@infor.ecnu.edu.cn	wlou@infor.ecnu.edu.cn	NN
10060	1	39	)	)	-RRB-
10060	1	40	is	be	VBZ
10060	1	41	an	an	DT
10060	1	42	assistant	assistant	JJ
10060	1	43	professor	professor	NN
10060	1	44	in	in	IN
10060	1	45	the	the	DT
10060	1	46	Faculty	Faculty	NNP
10060	1	47	of	of	IN
10060	1	48	Economics	Economics	NNP
10060	1	49	and	and	CC
10060	1	50	Management	Management	NNP
10060	1	51	,	,	,
10060	1	52	East	East	NNP
10060	1	53	China	China	NNP
10060	1	54	Normal	Normal	NNP
10060	1	55	University	University	NNP
10060	1	56	.	.	.
10060	2	1	Hui	Hui	NNP
10060	2	2	Wang	Wang	NNP
10060	2	3	(	(	-LRB-
10060	2	4	1830233606@qq.com	1830233606@qq.com	NNP
10060	2	5	)	)	-RRB-
10060	2	6	is	be	VBZ
10060	2	7	a	a	DT
10060	2	8	graduate	graduate	NN
10060	2	9	student	student	NN
10060	2	10	in	in	IN
10060	2	11	the	the	DT
10060	2	12	Faculty	Faculty	NNP
10060	2	13	of	of	IN
10060	2	14	Economics	Economics	NNP
10060	2	15	and	and	CC
10060	2	16	Management	Management	NNP
10060	2	17	,	,	,
10060	2	18	East	East	NNP
10060	2	19	China	China	NNP
10060	2	20	Normal	Normal	NNP
10060	2	21	University	University	NNP
10060	2	22	.	.	.
10060	3	1	Jiangen	Jiangen	NNP
10060	3	2	He	He	NNP
10060	3	3	(	(	-LRB-
10060	3	4	jiangen.he@drexel.edu	jiangen.he@drexel.edu	NNP
10060	3	5	)	)	-RRB-
10060	3	6	is	be	VBZ
10060	3	7	a	a	DT
10060	3	8	Doctoral	Doctoral	NNP
10060	3	9	Student	Student	NNP
10060	3	10	in	in	IN
10060	3	11	the	the	DT
10060	3	12	College	College	NNP
10060	3	13	of	of	IN
10060	3	14	Computing	Computing	NNP
10060	3	15	and	and	CC
10060	3	16	Informatics	Informatics	NNP
10060	3	17	,	,	,
10060	3	18	Drexel	Drexel	NNP
10060	3	19	University	University	NNP
10060	3	20	.	.	.
10060	4	1	ABSTRACT	ABSTRACT	NNP
10060	4	2	We	-PRON-	PRP
10060	4	3	attempt	attempt	VBP
10060	4	4	to	to	TO
10060	4	5	improve	improve	VB
10060	4	6	user	user	NN
10060	4	7	satisfaction	satisfaction	NN
10060	4	8	with	with	IN
10060	4	9	the	the	DT
10060	4	10	effects	effect	NNS
10060	4	11	of	of	IN
10060	4	12	retrieval	retrieval	NN
10060	4	13	results	result	NNS
10060	4	14	and	and	CC
10060	4	15	visual	visual	JJ
10060	4	16	appearance	appearance	NN
10060	4	17	by	by	IN
10060	4	18	employing	employ	VBG
10060	4	19	users	user	NNS
10060	4	20	’	’	POS
10060	4	21	own	own	JJ
10060	4	22	information	information	NN
10060	4	23	.	.	.
10060	5	1	User	user	NN
10060	5	2	feedback	feedback	NN
10060	5	3	on	on	IN
10060	5	4	digital	digital	JJ
10060	5	5	platforms	platform	NNS
10060	5	6	has	have	VBZ
10060	5	7	been	be	VBN
10060	5	8	proven	prove	VBN
10060	5	9	to	to	TO
10060	5	10	be	be	VB
10060	5	11	one	one	CD
10060	5	12	type	type	NN
10060	5	13	of	of	IN
10060	5	14	user	user	NN
10060	5	15	cognition	cognition	NN
10060	5	16	.	.	.
10060	6	1	Through	through	IN
10060	6	2	conducting	conduct	VBG
10060	6	3	a	a	DT
10060	6	4	digital	digital	JJ
10060	6	5	literature	literature	NN
10060	6	6	resource	resource	NN
10060	6	7	organization	organization	NN
10060	6	8	model	model	NN
10060	6	9	based	base	VBN
10060	6	10	on	on	IN
10060	6	11	user	user	NN
10060	6	12	cognition	cognition	NN
10060	6	13	,	,	,
10060	6	14	our	-PRON-	PRP$
10060	6	15	proposal	proposal	NN
10060	6	16	improves	improve	VBZ
10060	6	17	both	both	DT
10060	6	18	the	the	DT
10060	6	19	content	content	NN
10060	6	20	and	and	CC
10060	6	21	presentation	presentation	NN
10060	6	22	of	of	IN
10060	6	23	retrieval	retrieval	NN
10060	6	24	systems	system	NNS
10060	6	25	.	.	.
10060	7	1	This	this	DT
10060	7	2	paper	paper	NN
10060	7	3	takes	take	VBZ
10060	7	4	Powell	Powell	NNP
10060	7	5	's	's	POS
10060	7	6	City	City	NNP
10060	7	7	of	of	IN
10060	7	8	Books	Books	NNPS
10060	7	9	as	as	IN
10060	7	10	an	an	DT
10060	7	11	example	example	NN
10060	7	12	to	to	TO
10060	7	13	describe	describe	VB
10060	7	14	the	the	DT
10060	7	15	construction	construction	NN
10060	7	16	process	process	NN
10060	7	17	of	of	IN
10060	7	18	a	a	DT
10060	7	19	knowledge	knowledge	NN
10060	7	20	network	network	NN
10060	7	21	.	.	.
10060	8	1	The	the	DT
10060	8	2	model	model	NN
10060	8	3	consists	consist	VBZ
10060	8	4	of	of	IN
10060	8	5	two	two	CD
10060	8	6	parts	part	NNS
10060	8	7	.	.	.
10060	9	1	In	in	IN
10060	9	2	the	the	DT
10060	9	3	unstructured	unstructured	JJ
10060	9	4	data	data	NN
10060	9	5	part	part	NN
10060	9	6	,	,	,
10060	9	7	synopses	synopsis	NNS
10060	9	8	and	and	CC
10060	9	9	reviews	review	NNS
10060	9	10	were	be	VBD
10060	9	11	recorded	record	VBN
10060	9	12	as	as	IN
10060	9	13	representatives	representative	NNS
10060	9	14	of	of	IN
10060	9	15	user	user	NN
10060	9	16	cognition	cognition	NN
10060	9	17	.	.	.
10060	10	1	To	to	TO
10060	10	2	build	build	VB
10060	10	3	the	the	DT
10060	10	4	resource	resource	NN
10060	10	5	category	category	NN
10060	10	6	,	,	,
10060	10	7	linguistic	linguistic	JJ
10060	10	8	and	and	CC
10060	10	9	semantic	semantic	JJ
10060	10	10	analyses	analysis	NNS
10060	10	11	were	be	VBD
10060	10	12	used	use	VBN
10060	10	13	to	to	TO
10060	10	14	analyze	analyze	VB
10060	10	15	the	the	DT
10060	10	16	concepts	concept	NNS
10060	10	17	and	and	CC
10060	10	18	the	the	DT
10060	10	19	relationships	relationship	NNS
10060	10	20	among	among	IN
10060	10	21	them	-PRON-	PRP
10060	10	22	.	.	.
10060	11	1	In	in	IN
10060	11	2	the	the	DT
10060	11	3	structural	structural	JJ
10060	11	4	data	data	NN
10060	11	5	part	part	NN
10060	11	6	,	,	,
10060	11	7	the	the	DT
10060	11	8	metadata	metadata	NN
10060	11	9	of	of	IN
10060	11	10	every	every	DT
10060	11	11	book	book	NN
10060	11	12	was	be	VBD
10060	11	13	linked	link	VBN
10060	11	14	with	with	IN
10060	11	15	each	each	DT
10060	11	16	other	other	JJ
10060	11	17	by	by	IN
10060	11	18	informetrics	informetric	NNS
10060	11	19	relationships	relationship	NNS
10060	11	20	.	.	.
10060	12	1	The	the	DT
10060	12	2	semantic	semantic	JJ
10060	12	3	resource	resource	NN
10060	12	4	was	be	VBD
10060	12	5	constructed	construct	VBN
10060	12	6	to	to	TO
10060	12	7	assist	assist	VB
10060	12	8	with	with	IN
10060	12	9	building	build	VBG
10060	12	10	the	the	DT
10060	12	11	knowledge	knowledge	NN
10060	12	12	network	network	NN
10060	12	13	.	.	.
10060	13	1	We	-PRON-	PRP
10060	13	2	conducted	conduct	VBD
10060	13	3	a	a	DT
10060	13	4	mock	mock	NN
10060	13	5	-	-	HYPH
10060	13	6	up	up	NN
10060	13	7	to	to	TO
10060	13	8	compare	compare	VB
10060	13	9	the	the	DT
10060	13	10	new	new	JJ
10060	13	11	category	category	NN
10060	13	12	and	and	CC
10060	13	13	knowledge	knowledge	NN
10060	13	14	-	-	HYPH
10060	13	15	recommendation	recommendation	NN
10060	13	16	system	system	NN
10060	13	17	with	with	IN
10060	13	18	the	the	DT
10060	13	19	current	current	JJ
10060	13	20	retrieval	retrieval	NN
10060	13	21	system	system	NN
10060	13	22	.	.	.
10060	14	1	Thirty	thirty	CD
10060	14	2	-	-	HYPH
10060	14	3	nine	nine	CD
10060	14	4	subjects	subject	NNS
10060	14	5	examined	examine	VBD
10060	14	6	our	-PRON-	PRP$
10060	14	7	mock	mock	NN
10060	14	8	-	-	HYPH
10060	14	9	up	up	NN
10060	14	10	and	and	CC
10060	14	11	highly	highly	RB
10060	14	12	valued	value	VBD
10060	14	13	the	the	DT
10060	14	14	differences	difference	NNS
10060	14	15	we	-PRON-	PRP
10060	14	16	made	make	VBD
10060	14	17	for	for	IN
10060	14	18	the	the	DT
10060	14	19	improvements	improvement	NNS
10060	14	20	in	in	IN
10060	14	21	retrieval	retrieval	NN
10060	14	22	and	and	CC
10060	14	23	appearance	appearance	NN
10060	14	24	.	.	.
10060	15	1	Knowledge	knowledge	NN
10060	15	2	recommendation	recommendation	NN
10060	15	3	based	base	VBN
10060	15	4	on	on	IN
10060	15	5	user	user	NN
10060	15	6	cognition	cognition	NN
10060	15	7	was	be	VBD
10060	15	8	tested	test	VBN
10060	15	9	to	to	TO
10060	15	10	be	be	VB
10060	15	11	positive	positive	JJ
10060	15	12	based	base	VBN
10060	15	13	on	on	IN
10060	15	14	user	user	NN
10060	15	15	feedback	feedback	NN
10060	15	16	.	.	.
10060	16	1	There	there	EX
10060	16	2	could	could	MD
10060	16	3	be	be	VB
10060	16	4	more	more	JJR
10060	16	5	research	research	NN
10060	16	6	objects	object	NNS
10060	16	7	for	for	IN
10060	16	8	digital	digital	JJ
10060	16	9	resource	resource	NN
10060	16	10	knowledge	knowledge	NN
10060	16	11	recommendations	recommendation	NNS
10060	16	12	based	base	VBN
10060	16	13	on	on	IN
10060	16	14	user	user	NN
10060	16	15	cognition	cognition	NN
10060	16	16	.	.	.
10060	17	1	INTRODUCTION	introduction	VB
10060	17	2	The	the	DT
10060	17	3	concept	concept	NN
10060	17	4	of	of	IN
10060	17	5	user	user	NN
10060	17	6	cognition	cognition	NN
10060	17	7	originates	originate	VBZ
10060	17	8	in	in	IN
10060	17	9	cognitive	cognitive	JJ
10060	17	10	psychology	psychology	NN
10060	17	11	.	.	.
10060	18	1	This	this	DT
10060	18	2	concept	concept	NN
10060	18	3	principally	principally	RB
10060	18	4	explores	explore	VBZ
10060	18	5	the	the	DT
10060	18	6	human	human	JJ
10060	18	7	cognition	cognition	NN
10060	18	8	process	process	NN
10060	18	9	through	through	IN
10060	18	10	information	information	NN
10060	18	11	-	-	HYPH
10060	18	12	processing	process	VBG
10060	18	13	methods.1	methods.1	CD
10060	18	14	The	the	DT
10060	18	15	concept	concept	NN
10060	18	16	characterizes	characterize	VBZ
10060	18	17	a	a	DT
10060	18	18	process	process	NN
10060	18	19	in	in	IN
10060	18	20	which	which	WDT
10060	18	21	a	a	DT
10060	18	22	user	user	NN
10060	18	23	obtains	obtain	VBZ
10060	18	24	unknown	unknown	JJ
10060	18	25	information	information	NN
10060	18	26	and	and	CC
10060	18	27	knowledge	knowledge	NN
10060	18	28	through	through	IN
10060	18	29	acquired	acquire	VBN
10060	18	30	information	information	NN
10060	18	31	.	.	.
10060	19	1	As	as	IN
10060	19	2	information	information	NN
10060	19	3	-	-	HYPH
10060	19	4	science	science	NN
10060	19	5	workers	worker	NNS
10060	19	6	,	,	,
10060	19	7	we	-PRON-	PRP
10060	19	8	may	may	MD
10060	19	9	explore	explore	VB
10060	19	10	the	the	DT
10060	19	11	psychological	psychological	JJ
10060	19	12	activities	activity	NNS
10060	19	13	of	of	IN
10060	19	14	users	user	NNS
10060	19	15	by	by	IN
10060	19	16	analyzing	analyze	VBG
10060	19	17	their	-PRON-	PRP$
10060	19	18	cognitive	cognitive	JJ
10060	19	19	processes	process	NNS
10060	19	20	when	when	WRB
10060	19	21	they	-PRON-	PRP
10060	19	22	are	be	VBP
10060	19	23	using	use	VBG
10060	19	24	information	information	NN
10060	19	25	services.2	services.2	CC
10060	19	26	A	a	DT
10060	19	27	knowledge	knowledge	NN
10060	19	28	-	-	HYPH
10060	19	29	recommendation	recommendation	NN
10060	19	30	service	service	NN
10060	19	31	based	base	VBN
10060	19	32	on	on	IN
10060	19	33	user	user	NN
10060	19	34	cognition	cognition	NN
10060	19	35	has	have	VBZ
10060	19	36	become	become	VBN
10060	19	37	essential	essential	JJ
10060	19	38	since	since	IN
10060	19	39	it	-PRON-	PRP
10060	19	40	emphasizes	emphasize	VBZ
10060	19	41	facilitating	facilitate	VBG
10060	19	42	collaborations	collaboration	NNS
10060	19	43	between	between	IN
10060	19	44	humans	human	NNS
10060	19	45	and	and	CC
10060	19	46	computers	computer	NNS
10060	19	47	and	and	CC
10060	19	48	promotes	promote	VBZ
10060	19	49	the	the	DT
10060	19	50	participation	participation	NN
10060	19	51	of	of	IN
10060	19	52	users	user	NNS
10060	19	53	,	,	,
10060	19	54	which	which	WDT
10060	19	55	ultimately	ultimately	RB
10060	19	56	improves	improve	VBZ
10060	19	57	user	user	NN
10060	19	58	satisfaction	satisfaction	NN
10060	19	59	.	.	.
10060	20	1	A	a	DT
10060	20	2	knowledge	knowledge	NN
10060	20	3	-	-	HYPH
10060	20	4	recommendation	recommendation	NN
10060	20	5	system	system	NN
10060	20	6	is	be	VBZ
10060	20	7	based	base	VBN
10060	20	8	on	on	IN
10060	20	9	a	a	DT
10060	20	10	combination	combination	NN
10060	20	11	of	of	IN
10060	20	12	information	information	NN
10060	20	13	organization	organization	NN
10060	20	14	,	,	,
10060	20	15	a	a	DT
10060	20	16	retrieval	retrieval	NN
10060	20	17	system	system	NN
10060	20	18	,	,	,
10060	20	19	and	and	CC
10060	20	20	knowledge	knowledge	NN
10060	20	21	visualization.3	visualization.3	NN
10060	20	22	However	however	RB
10060	20	23	,	,	,
10060	20	24	when	when	WRB
10060	20	25	exploring	explore	VBG
10060	20	26	digital	digital	JJ
10060	20	27	online	online	JJ
10060	20	28	literature	literature	NN
10060	20	29	resources	resource	NNS
10060	20	30	,	,	,
10060	20	31	it	-PRON-	PRP
10060	20	32	is	be	VBZ
10060	20	33	difficult	difficult	JJ
10060	20	34	to	to	TO
10060	20	35	quickly	quickly	RB
10060	20	36	and	and	CC
10060	20	37	precisely	precisely	RB
10060	20	38	find	find	VB
10060	20	39	what	what	WP
10060	20	40	we	-PRON-	PRP
10060	20	41	want	want	VBP
10060	20	42	because	because	IN
10060	20	43	of	of	IN
10060	20	44	the	the	DT
10060	20	45	problem	problem	NN
10060	20	46	of	of	IN
10060	20	47	information	information	NN
10060	20	48	organization	organization	NN
10060	20	49	and	and	CC
10060	20	50	retrieval	retrieval	NN
10060	20	51	.	.	.
10060	21	1	Most	Most	JJS
10060	21	2	search	search	NN
10060	21	3	results	result	NNS
10060	21	4	only	only	RB
10060	21	5	display	display	VBP
10060	21	6	a	a	DT
10060	21	7	one	one	CD
10060	21	8	-	-	HYPH
10060	21	9	by	by	IN
10060	21	10	-	-	HYPH
10060	21	11	one	one	CD
10060	21	12	list	list	NN
10060	21	13	view	view	NN
10060	21	14	.	.	.
10060	22	1	mailto:2012101040015@whu.edu.cn	mailto:2012101040015@whu.edu.cn	NNP
10060	22	2	mailto:1830233606@qq.com	mailto:1830233606@qq.com	ADD
10060	22	3	mailto:jiangen.he@drexel.edu	mailto:jiangen.he@drexel.edu	CD
10060	22	4	OF	of	IN
10060	22	5	THE	the	DT
10060	22	6	PEOPLE	PEOPLE	NNS
10060	22	7	,	,	,
10060	22	8	FOR	for	IN
10060	22	9	THE	the	DT
10060	22	10	PEOPLE	PEOPLE	NNPS
10060	22	11	|	|	NNP
10060	22	12	LOU	LOU	NNP
10060	22	13	,	,	,
10060	22	14	WANG	WANG	NNP
10060	22	15	,	,	,
10060	22	16	AND	and	CC
10060	22	17	HE	he	PRP
10060	22	18	67	67	CD
10060	22	19	https://doi.org/10.6017/ital.v37i3.10060	https://doi.org/10.6017/ital.v37i3.10060	NN
10060	22	20	Thus	thus	RB
10060	22	21	,	,	,
10060	22	22	adding	add	VBG
10060	22	23	visualization	visualization	NN
10060	22	24	techniques	technique	NNS
10060	22	25	to	to	IN
10060	22	26	an	an	DT
10060	22	27	interface	interface	NN
10060	22	28	could	could	MD
10060	22	29	improve	improve	VB
10060	22	30	user	user	NN
10060	22	31	satisfaction	satisfaction	NN
10060	22	32	.	.	.
10060	23	1	Furthermore	furthermore	RB
10060	23	2	,	,	,
10060	23	3	the	the	DT
10060	23	4	retrieval	retrieval	NN
10060	23	5	system	system	NN
10060	23	6	and	and	CC
10060	23	7	visualizations	visualization	NNS
10060	23	8	rely	rely	VBP
10060	23	9	on	on	IN
10060	23	10	information	information	NN
10060	23	11	organization	organization	NN
10060	23	12	.	.	.
10060	24	1	Only	only	RB
10060	24	2	if	if	IN
10060	24	3	information	information	NN
10060	24	4	is	be	VBZ
10060	24	5	well	well	RB
10060	24	6	designed	design	VBN
10060	24	7	can	can	MD
10060	24	8	the	the	DT
10060	24	9	retrieval	retrieval	NN
10060	24	10	system	system	NN
10060	24	11	and	and	CC
10060	24	12	visualization	visualization	NN
10060	24	13	be	be	VB
10060	24	14	useful	useful	JJ
10060	24	15	.	.	.
10060	25	1	Therefore	therefore	RB
10060	25	2	,	,	,
10060	25	3	we	-PRON-	PRP
10060	25	4	attempt	attempt	VBP
10060	25	5	to	to	TO
10060	25	6	improve	improve	VB
10060	25	7	retrieval	retrieval	NN
10060	25	8	efficiency	efficiency	NN
10060	25	9	by	by	IN
10060	25	10	proposing	propose	VBG
10060	25	11	a	a	DT
10060	25	12	digital	digital	JJ
10060	25	13	literature	literature	NN
10060	25	14	resource	resource	NN
10060	25	15	organization	organization	NN
10060	25	16	model	model	NN
10060	25	17	based	base	VBN
10060	25	18	on	on	IN
10060	25	19	user	user	NN
10060	25	20	cognition	cognition	NN
10060	25	21	to	to	TO
10060	25	22	improve	improve	VB
10060	25	23	both	both	DT
10060	25	24	the	the	DT
10060	25	25	content	content	NN
10060	25	26	and	and	CC
10060	25	27	presentation	presentation	NN
10060	25	28	of	of	IN
10060	25	29	retrieval	retrieval	NN
10060	25	30	systems	system	NNS
10060	25	31	.	.	.
10060	26	1	Taking	take	VBG
10060	26	2	Powell	Powell	NNP
10060	26	3	’s	’s	NNP
10060	26	4	City	City	NNP
10060	26	5	of	of	IN
10060	26	6	Books	Books	NNPS
10060	26	7	as	as	IN
10060	26	8	an	an	DT
10060	26	9	example	example	NN
10060	26	10	,	,	,
10060	26	11	this	this	DT
10060	26	12	paper	paper	NN
10060	26	13	proposes	propose	VBZ
10060	26	14	user	user	NN
10060	26	15	feedback	feedback	NN
10060	26	16	as	as	IN
10060	26	17	first	first	JJ
10060	26	18	-	-	HYPH
10060	26	19	hand	hand	NN
10060	26	20	user	user	NN
10060	26	21	information	information	NN
10060	26	22	.	.	.
10060	27	1	We	-PRON-	PRP
10060	27	2	will	will	MD
10060	27	3	focus	focus	VB
10060	27	4	on	on	IN
10060	27	5	(	(	-LRB-
10060	27	6	1	1	LS
10060	27	7	)	)	-RRB-
10060	27	8	resource	resource	NN
10060	27	9	organizations	organization	NNS
10060	27	10	based	base	VBN
10060	27	11	on	on	IN
10060	27	12	user	user	NN
10060	27	13	cognition	cognition	NN
10060	27	14	and	and	CC
10060	27	15	(	(	-LRB-
10060	27	16	2	2	LS
10060	27	17	)	)	-RRB-
10060	27	18	new	new	JJ
10060	27	19	formats	format	NNS
10060	27	20	on	on	IN
10060	27	21	search	search	NN
10060	27	22	results	result	NNS
10060	27	23	based	base	VBN
10060	27	24	on	on	IN
10060	27	25	knowledge	knowledge	NN
10060	27	26	recommendations	recommendation	NNS
10060	27	27	.	.	.
10060	28	1	We	-PRON-	PRP
10060	28	2	will	will	MD
10060	28	3	purposefully	purposefully	RB
10060	28	4	employ	employ	VB
10060	28	5	data	datum	NNS
10060	28	6	from	from	IN
10060	28	7	users	user	NNS
10060	28	8	’	’	POS
10060	28	9	own	own	JJ
10060	28	10	information	information	NN
10060	28	11	and	and	CC
10060	28	12	give	give	VB
10060	28	13	knowledge	knowledge	NN
10060	28	14	back	back	RB
10060	28	15	to	to	IN
10060	28	16	users	user	NNS
10060	28	17	in	in	IN
10060	28	18	accordance	accordance	NN
10060	28	19	with	with	IN
10060	28	20	the	the	DT
10060	28	21	quote	quote	NN
10060	28	22	“	"	``
10060	28	23	of	of	IN
10060	28	24	the	the	DT
10060	28	25	people	people	NNS
10060	28	26	,	,	,
10060	28	27	for	for	IN
10060	28	28	the	the	DT
10060	28	29	people	people	NNS
10060	28	30	.	.	.
10060	28	31	”	"	''
10060	28	32	RELATED	related	JJ
10060	28	33	WORK	WORK	NNP
10060	28	34	User	User	NNP
10060	28	35	Cognition	Cognition	NNP
10060	28	36	and	and	CC
10060	28	37	Measurement	Measurement	NNP
10060	28	38	User	User	NNP
10060	28	39	cognition	cognition	NN
10060	28	40	usually	usually	RB
10060	28	41	consists	consist	VBZ
10060	28	42	of	of	IN
10060	28	43	a	a	DT
10060	28	44	series	series	NN
10060	28	45	of	of	IN
10060	28	46	processes	process	NNS
10060	28	47	,	,	,
10060	28	48	including	include	VBG
10060	28	49	feeling	feeling	NN
10060	28	50	,	,	,
10060	28	51	noticing	notice	VBG
10060	28	52	,	,	,
10060	28	53	temporary	temporary	JJ
10060	28	54	memory	memory	NN
10060	28	55	,	,	,
10060	28	56	learning	learning	NN
10060	28	57	,	,	,
10060	28	58	thinking	think	VBG
10060	28	59	,	,	,
10060	28	60	and	and	CC
10060	28	61	long	long	JJ
10060	28	62	-	-	HYPH
10060	28	63	term	term	NN
10060	28	64	memory.4	memory.4	CD
10060	28	65	Feeling	feeling	NN
10060	28	66	and	and	CC
10060	28	67	noticing	noticing	NN
10060	28	68	are	be	VBP
10060	28	69	at	at	IN
10060	28	70	an	an	DT
10060	28	71	inferior	inferior	JJ
10060	28	72	level	level	NN
10060	28	73	,	,	,
10060	28	74	while	while	IN
10060	28	75	learning	learn	VBG
10060	28	76	,	,	,
10060	28	77	thinking	think	VBG
10060	28	78	,	,	,
10060	28	79	and	and	CC
10060	28	80	memory	memory	NN
10060	28	81	are	be	VBP
10060	28	82	comparatively	comparatively	RB
10060	28	83	superior	superior	JJ
10060	28	84	.	.	.
10060	29	1	Researchers	researcher	NNS
10060	29	2	have	have	VBP
10060	29	3	so	so	RB
10060	29	4	far	far	RB
10060	29	5	tried	try	VBN
10060	29	6	to	to	TO
10060	29	7	identify	identify	VB
10060	29	8	user	user	NN
10060	29	9	cognition	cognition	NN
10060	29	10	processes	process	NNS
10060	29	11	by	by	IN
10060	29	12	analyzing	analyze	VBG
10060	29	13	user	user	NN
10060	29	14	needs	need	NNS
10060	29	15	.	.	.
10060	30	1	There	there	EX
10060	30	2	are	be	VBP
10060	30	3	four	four	CD
10060	30	4	levels	level	NNS
10060	30	5	of	of	IN
10060	30	6	user	user	NN
10060	30	7	needs	need	NNS
10060	30	8	according	accord	VBG
10060	30	9	to	to	IN
10060	30	10	Ma	Ma	NNP
10060	30	11	and	and	CC
10060	30	12	Yang5	yang5	JJ
10060	30	13	(	(	-LRB-
10060	30	14	See	see	VB
10060	30	15	Figure	Figure	NNP
10060	30	16	1	1	CD
10060	30	17	.	.	.
10060	30	18	)	)	-RRB-
10060	31	1	In	in	IN
10060	31	2	turn	turn	NN
10060	31	3	,	,	,
10060	31	4	user	user	NN
10060	31	5	interests	interest	NNS
10060	31	6	normally	normally	RB
10060	31	7	reflect	reflect	VBP
10060	31	8	potential	potential	JJ
10060	31	9	user	user	NN
10060	31	10	needs	need	NNS
10060	31	11	.	.	.
10060	32	1	Users	user	NNS
10060	32	2	who	who	WP
10060	32	3	retrieve	retrieve	VBP
10060	32	4	information	information	NN
10060	32	5	on	on	IN
10060	32	6	their	-PRON-	PRP$
10060	32	7	own	own	JJ
10060	32	8	show	show	NN
10060	32	9	feeling	feeling	NN
10060	32	10	needs	need	NNS
10060	32	11	.	.	.
10060	33	1	Users	user	NNS
10060	33	2	who	who	WP
10060	33	3	give	give	VBP
10060	33	4	feedback	feedback	NN
10060	33	5	show	show	NN
10060	33	6	expression	expression	NN
10060	33	7	needs	need	NNS
10060	33	8	.	.	.
10060	34	1	Users	user	NNS
10060	34	2	who	who	WP
10060	34	3	ask	ask	VBP
10060	34	4	questions	question	NNS
10060	34	5	show	show	VBP
10060	34	6	knowledge	knowledge	NN
10060	34	7	needs	need	NNS
10060	34	8	,	,	,
10060	34	9	which	which	WDT
10060	34	10	is	be	VBZ
10060	34	11	the	the	DT
10060	34	12	highest	high	JJS
10060	34	13	level	level	NN
10060	34	14	.	.	.
10060	35	1	The	the	DT
10060	35	2	methods	method	NNS
10060	35	3	to	to	TO
10060	35	4	quantify	quantify	VB
10060	35	5	user	user	NN
10060	35	6	cognition	cognition	NN
10060	35	7	require	require	VBP
10060	35	8	visible	visible	JJ
10060	35	9	and	and	CC
10060	35	10	measurable	measurable	JJ
10060	35	11	variables	variable	NNS
10060	35	12	.	.	.
10060	36	1	Existing	exist	VBG
10060	36	2	studies	study	NNS
10060	36	3	have	have	VBP
10060	36	4	commonly	commonly	RB
10060	36	5	used	use	VBN
10060	36	6	website	website	NN
10060	36	7	log	log	NN
10060	36	8	analysis	analysis	NN
10060	36	9	or	or	CC
10060	36	10	user	user	NN
10060	36	11	surveys	survey	NNS
10060	36	12	.	.	.
10060	37	1	Website	website	NN
10060	37	2	log	log	NN
10060	37	3	analysis	analysis	NN
10060	37	4	has	have	VBZ
10060	37	5	been	be	VBN
10060	37	6	proven	prove	VBN
10060	37	7	to	to	TO
10060	37	8	be	be	VB
10060	37	9	a	a	DT
10060	37	10	solid	solid	JJ
10060	37	11	data	datum	NNS
10060	37	12	source	source	NN
10060	37	13	to	to	TO
10060	37	14	record	record	VB
10060	37	15	and	and	CC
10060	37	16	analyze	analyze	VB
10060	37	17	both	both	DT
10060	37	18	user	user	NN
10060	37	19	interests	interest	NNS
10060	37	20	and	and	CC
10060	37	21	information	information	NN
10060	37	22	needs.6	needs.6	CD
10060	37	23	User	User	NNP
10060	37	24	surveys	survey	NNS
10060	37	25	,	,	,
10060	37	26	including	include	VBG
10060	37	27	online	online	JJ
10060	37	28	questionnaires	questionnaire	NNS
10060	37	29	and	and	CC
10060	37	30	face	face	NN
10060	37	31	-	-	HYPH
10060	37	32	to	to	IN
10060	37	33	-	-	HYPH
10060	37	34	face	face	NN
10060	37	35	interviews	interview	NNS
10060	37	36	,	,	,
10060	37	37	have	have	VBP
10060	37	38	been	be	VBN
10060	37	39	widely	widely	RB
10060	37	40	used	use	VBN
10060	37	41	to	to	TO
10060	37	42	comprehend	comprehend	VB
10060	37	43	user	user	NN
10060	37	44	feelings	feeling	NNS
10060	37	45	and	and	CC
10060	37	46	user	user	NN
10060	37	47	satisfaction.7	satisfaction.7	CD
10060	37	48	User	User	NNP
10060	37	49	surveys	survey	NNS
10060	37	50	generally	generally	RB
10060	37	51	measure	measure	VBP
10060	37	52	two	two	CD
10060	37	53	kinds	kind	NNS
10060	37	54	of	of	IN
10060	37	55	relationship	relationship	NN
10060	37	56	:	:	:
10060	37	57	between	between	IN
10060	37	58	users	user	NNS
10060	37	59	and	and	CC
10060	37	60	digital	digital	JJ
10060	37	61	services	service	NNS
10060	37	62	and	and	CC
10060	37	63	between	between	IN
10060	37	64	users	user	NNS
10060	37	65	and	and	CC
10060	37	66	the	the	DT
10060	37	67	digital	digital	JJ
10060	37	68	community.8	community.8	CD
10060	37	69	With	with	IN
10060	37	70	a	a	DT
10060	37	71	survey	survey	NN
10060	37	72	,	,	,
10060	37	73	we	-PRON-	PRP
10060	37	74	can	can	MD
10060	37	75	make	make	VB
10060	37	76	the	the	DT
10060	37	77	most	most	JJS
10060	37	78	of	of	IN
10060	37	79	statistics	statistic	NNS
10060	37	80	and	and	CC
10060	37	81	assessment	assessment	NN
10060	37	82	studies	study	NNS
10060	37	83	to	to	TO
10060	37	84	analyze	analyze	VB
10060	37	85	user	user	NN
10060	37	86	satisfaction	satisfaction	NN
10060	37	87	about	about	IN
10060	37	88	an	an	DT
10060	37	89	array	array	NN
10060	37	90	of	of	IN
10060	37	91	standards	standard	NNS
10060	37	92	and	and	CC
10060	37	93	systems	system	NNS
10060	37	94	of	of	IN
10060	37	95	existing	exist	VBG
10060	37	96	service	service	NN
10060	37	97	platforms	platform	NNS
10060	37	98	,	,	,
10060	37	99	service	service	NN
10060	37	100	environments	environment	NNS
10060	37	101	,	,	,
10060	37	102	service	service	NN
10060	37	103	quality	quality	NN
10060	37	104	,	,	,
10060	37	105	and	and	CC
10060	37	106	service	service	NN
10060	37	107	personnel	personnel	NNS
10060	37	108	,	,	,
10060	37	109	which	which	WDT
10060	37	110	provides	provide	VBZ
10060	37	111	some	some	DT
10060	37	112	references	reference	NNS
10060	37	113	and	and	CC
10060	37	114	suggestions	suggestion	NNS
10060	37	115	for	for	IN
10060	37	116	future	future	JJ
10060	37	117	study	study	NN
10060	37	118	of	of	IN
10060	37	119	user	user	NN
10060	37	120	experience	experience	NN
10060	37	121	quality	quality	NN
10060	37	122	,	,	,
10060	37	123	platform	platform	NN
10060	37	124	elements	element	NNS
10060	37	125	,	,	,
10060	37	126	interaction	interaction	NN
10060	37	127	process	process	NN
10060	37	128	,	,	,
10060	37	129	and	and	CC
10060	37	130	more.9	more.9	NNP
10060	37	131	However	however	RB
10060	37	132	,	,	,
10060	37	133	neither	neither	CC
10060	37	134	log	log	NN
10060	37	135	data	datum	NNS
10060	37	136	nor	nor	CC
10060	37	137	surveys	survey	NNS
10060	37	138	can	can	MD
10060	37	139	obtain	obtain	VB
10060	37	140	first	first	JJ
10060	37	141	-	-	HYPH
10060	37	142	hand	hand	NN
10060	37	143	user	user	NN
10060	37	144	information	information	NN
10060	37	145	in	in	IN
10060	37	146	real-	real-	NNP
10060	37	147	life	life	NN
10060	37	148	settings	setting	NNS
10060	37	149	.	.	.
10060	38	1	Eye	eye	NN
10060	38	2	tracking	tracking	NN
10060	38	3	and	and	CC
10060	38	4	the	the	DT
10060	38	5	concept	concept	NN
10060	38	6	-	-	HYPH
10060	38	7	map	map	NN
10060	38	8	method	method	NN
10060	38	9	can	can	MD
10060	38	10	be	be	VB
10060	38	11	used	use	VBN
10060	38	12	to	to	TO
10060	38	13	understand	understand	VB
10060	38	14	user	user	NN
10060	38	15	behavior	behavior	NN
10060	38	16	in	in	IN
10060	38	17	the	the	DT
10060	38	18	course	course	NN
10060	38	19	of	of	IN
10060	38	20	user	user	NN
10060	38	21	testing.10	testing.10	NNP
10060	38	22	However	however	RB
10060	38	23	,	,	,
10060	38	24	these	these	DT
10060	38	25	approaches	approach	NNS
10060	38	26	are	be	VBP
10060	38	27	difficult	difficult	JJ
10060	38	28	to	to	TO
10060	38	29	adapt	adapt	VB
10060	38	30	to	to	IN
10060	38	31	a	a	DT
10060	38	32	large	large	JJ
10060	38	33	group	group	NN
10060	38	34	of	of	IN
10060	38	35	users	user	NNS
10060	38	36	.	.	.
10060	39	1	Therefore	therefore	RB
10060	39	2	,	,	,
10060	39	3	a	a	DT
10060	39	4	linguistic	linguistic	RB
10060	39	5	-	-	HYPH
10060	39	6	oriented	orient	VBN
10060	39	7	review	review	NN
10060	39	8	analysis	analysis	NN
10060	39	9	has	have	VBZ
10060	39	10	become	become	VBN
10060	39	11	an	an	DT
10060	39	12	increasingly	increasingly	RB
10060	39	13	important	important	JJ
10060	39	14	method	method	NN
10060	39	15	.	.	.
10060	40	1	User	user	NN
10060	40	2	content	content	NN
10060	40	3	,	,	,
10060	40	4	including	include	VBG
10060	40	5	reviews	review	NNS
10060	40	6	and	and	CC
10060	40	7	tags	tag	NNS
10060	40	8	,	,	,
10060	40	9	could	could	MD
10060	40	10	be	be	VB
10060	40	11	analyzed	analyze	VBN
10060	40	12	through	through	IN
10060	40	13	text	text	NN
10060	40	14	mining	mining	NN
10060	40	15	and	and	CC
10060	40	16	become	become	VB
10060	40	17	valuable	valuable	JJ
10060	40	18	data	data	NN
10060	40	19	sources	source	NNS
10060	40	20	to	to	TO
10060	40	21	learn	learn	VB
10060	40	22	their	-PRON-	PRP$
10060	40	23	preferences	preference	NNS
10060	40	24	for	for	IN
10060	40	25	the	the	DT
10060	40	26	product	product	NN
10060	40	27	and	and	CC
10060	40	28	service	service	NN
10060	40	29	in	in	IN
10060	40	30	the	the	DT
10060	40	31	areas	area	NNS
10060	40	32	of	of	IN
10060	40	33	electronic	electronic	JJ
10060	40	34	commerce	commerce	NN
10060	40	35	and	and	CC
10060	40	36	digital	digital	JJ
10060	40	37	libraries.11	libraries.11	NNP
10060	40	38	This	this	DT
10060	40	39	type	type	NN
10060	40	40	of	of	IN
10060	40	41	data	datum	NNS
10060	40	42	has	have	VBZ
10060	40	43	been	be	VBN
10060	40	44	called	call	VBN
10060	40	45	“	"	``
10060	40	46	more	more	JJR
10060	40	47	than	than	IN
10060	40	48	words	word	NNS
10060	40	49	.	.	.
10060	40	50	”12	”12	''
10060	40	51	INFORMATION	information	NN
10060	40	52	TECHNOLOGY	technology	NN
10060	40	53	AND	and	CC
10060	40	54	LIBRARIES	library	NNS
10060	40	55	|	|	NNP
10060	40	56	SEPTEMBER	SEPTEMBER	NNP
10060	40	57	2018	2018	CD
10060	40	58	68	68	CD
10060	40	59	Figure	figure	NN
10060	40	60	1	1	CD
10060	40	61	.	.	.
10060	41	1	Understanding	understanding	NN
10060	41	2	user	user	NN
10060	41	3	cognition	cognition	NN
10060	41	4	by	by	IN
10060	41	5	analyzing	analyze	VBG
10060	41	6	user	user	NN
10060	41	7	needs	need	NNS
10060	41	8	.	.	.
10060	42	1	User	User	NNP
10060	42	2	-	-	HYPH
10060	42	3	Oriented	orient	VBN
10060	42	4	Knowledge	Knowledge	NNP
10060	42	5	Service	Service	NNP
10060	42	6	Model	Model	NNP
10060	42	7	The	the	DT
10060	42	8	user	user	NN
10060	42	9	-	-	HYPH
10060	42	10	oriented	orient	VBN
10060	42	11	service	service	NN
10060	42	12	model	model	NN
10060	42	13	includes	include	VBZ
10060	42	14	user	user	NN
10060	42	15	demand	demand	NN
10060	42	16	,	,	,
10060	42	17	user	user	NN
10060	42	18	cognition	cognition	NN
10060	42	19	,	,	,
10060	42	20	and	and	CC
10060	42	21	user	user	NN
10060	42	22	information	information	NN
10060	42	23	behavior	behavior	NN
10060	42	24	.	.	.
10060	43	1	A	a	DT
10060	43	2	service	service	NN
10060	43	3	model	model	NN
10060	43	4	based	base	VBN
10060	43	5	on	on	IN
10060	43	6	user	user	NN
10060	43	7	demand	demand	NN
10060	43	8	chiefly	chiefly	RB
10060	43	9	concentrates	concentrate	VBZ
10060	43	10	on	on	IN
10060	43	11	the	the	DT
10060	43	12	motives	motive	NNS
10060	43	13	,	,	,
10060	43	14	habits	habit	NNS
10060	43	15	,	,	,
10060	43	16	regularities	regularity	NNS
10060	43	17	,	,	,
10060	43	18	and	and	CC
10060	43	19	purposes	purpose	NNS
10060	43	20	of	of	IN
10060	43	21	user	user	NN
10060	43	22	demand	demand	NN
10060	43	23	to	to	TO
10060	43	24	identify	identify	VB
10060	43	25	the	the	DT
10060	43	26	model	model	NN
10060	43	27	of	of	IN
10060	43	28	use	use	NN
10060	43	29	demand	demand	NN
10060	43	30	so	so	IN
10060	43	31	that	that	IN
10060	43	32	the	the	DT
10060	43	33	appropriate	appropriate	JJ
10060	43	34	service	service	NN
10060	43	35	is	be	VBZ
10060	43	36	adopted.13	adopted.13	NNP
10060	43	37	Service	Service	NNP
10060	43	38	models	model	NNS
10060	43	39	based	base	VBN
10060	43	40	on	on	IN
10060	43	41	user	user	NN
10060	43	42	cognition	cognition	NNP
10060	43	43	attach	attach	VBP
10060	43	44	importance	importance	NN
10060	43	45	to	to	IN
10060	43	46	the	the	DT
10060	43	47	process	process	NN
10060	43	48	of	of	IN
10060	43	49	user	user	NN
10060	43	50	cognition	cognition	NN
10060	43	51	,	,	,
10060	43	52	the	the	DT
10060	43	53	influence	influence	NN
10060	43	54	that	that	WDT
10060	43	55	users	user	NNS
10060	43	56	are	be	VBP
10060	43	57	facing,14	facing,14	JJ
10060	43	58	and	and	CC
10060	43	59	the	the	DT
10060	43	60	change	change	NN
10060	43	61	of	of	IN
10060	43	62	library	library	JJ
10060	43	63	information	information	NN
10060	43	64	services	service	NNS
10060	43	65	under	under	IN
10060	43	66	the	the	DT
10060	43	67	effects	effect	NNS
10060	43	68	of	of	IN
10060	43	69	series	series	NN
10060	43	70	of	of	IN
10060	43	71	cognitive	cognitive	JJ
10060	43	72	processes	process	NNS
10060	43	73	(	(	-LRB-
10060	43	74	such	such	JJ
10060	43	75	as	as	IN
10060	43	76	feeling	feeling	NN
10060	43	77	,	,	,
10060	43	78	receiving	receive	VBG
10060	43	79	,	,	,
10060	43	80	memorizing	memorizing	NN
10060	43	81	,	,	,
10060	43	82	and	and	CC
10060	43	83	thinking).15	thinking).15	NN
10060	43	84	A	a	DT
10060	43	85	service	service	NN
10060	43	86	model	model	NN
10060	43	87	based	base	VBN
10060	43	88	on	on	IN
10060	43	89	user	user	NN
10060	43	90	information	information	NN
10060	43	91	behavior	behavior	NN
10060	43	92	focuses	focus	VBZ
10060	43	93	on	on	IN
10060	43	94	interactive	interactive	JJ
10060	43	95	behavior	behavior	NN
10060	43	96	in	in	IN
10060	43	97	the	the	DT
10060	43	98	process	process	NN
10060	43	99	of	of	IN
10060	43	100	library	library	JJ
10060	43	101	information	information	NN
10060	43	102	services	service	NNS
10060	43	103	that	that	WDT
10060	43	104	users	user	NNS
10060	43	105	participate	participate	VBP
10060	43	106	in	in	IN
10060	43	107	,	,	,
10060	43	108	such	such	JJ
10060	43	109	as	as	IN
10060	43	110	interactions	interaction	NNS
10060	43	111	with	with	IN
10060	43	112	academic	academic	JJ
10060	43	113	librarians	librarian	NNS
10060	43	114	,	,	,
10060	43	115	knowledge	knowledge	NN
10060	43	116	platforms,16	platforms,16	NNS
10060	43	117	and	and	CC
10060	43	118	others	other	NNS
10060	43	119	.	.	.
10060	44	1	Studies	study	NNS
10060	44	2	have	have	VBP
10060	44	3	paid	pay	VBN
10060	44	4	more	more	JJR
10060	44	5	attention	attention	NN
10060	44	6	to	to	IN
10060	44	7	the	the	DT
10060	44	8	pre	pre	NN
10060	44	9	-	-	NN
10060	44	10	process	process	NN
10060	44	11	of	of	IN
10060	44	12	the	the	DT
10060	44	13	user	user	NN
10060	44	14	-	-	HYPH
10060	44	15	oriented	orient	VBN
10060	44	16	service	service	NN
10060	44	17	model	model	NN
10060	44	18	,	,	,
10060	44	19	which	which	WDT
10060	44	20	analyzes	analyze	VBZ
10060	44	21	information	information	NN
10060	44	22	habits	habit	NNS
10060	44	23	and	and	CC
10060	44	24	user	user	NN
10060	44	25	behaviors.17	behaviors.17	NNP
10060	44	26	Studies	Studies	NNPS
10060	44	27	have	have	VBP
10060	44	28	also	also	RB
10060	44	29	proposed	propose	VBN
10060	44	30	frameworks	framework	NNS
10060	44	31	of	of	IN
10060	44	32	knowledge	knowledge	NN
10060	44	33	services	service	NNS
10060	44	34	,	,	,
10060	44	35	design	design	NN
10060	44	36	innovations,18	innovations,18	JJ
10060	44	37	or	or	CC
10060	44	38	personalized	personalize	VBN
10060	44	39	systems	system	NNS
10060	44	40	and	and	CC
10060	44	41	frames	frame	NNS
10060	44	42	of	of	IN
10060	44	43	the	the	DT
10060	44	44	knowledge	knowledge	NN
10060	44	45	service	service	NN
10060	44	46	model	model	NN
10060	44	47	,	,	,
10060	44	48	but	but	CC
10060	44	49	they	-PRON-	PRP
10060	44	50	have	have	VBP
10060	44	51	not	not	RB
10060	44	52	succeeded	succeed	VBN
10060	44	53	in	in	IN
10060	44	54	implementing	implement	VBG
10060	44	55	or	or	CC
10060	44	56	performing	perform	VBG
10060	44	57	user	user	NN
10060	44	58	testing	testing	NN
10060	44	59	.	.	.
10060	45	1	Knowledge	Knowledge	NNP
10060	45	2	Service	Service	NNP
10060	45	3	System	System	NNP
10060	45	4	Construction	Construction	NNP
10060	45	5	Most	Most	JJS
10060	45	6	studies	study	NNS
10060	45	7	of	of	IN
10060	45	8	knowledge	knowledge	NN
10060	45	9	service	service	NN
10060	45	10	system	system	NN
10060	45	11	construction	construction	NN
10060	45	12	are	be	VBP
10060	45	13	in	in	IN
10060	45	14	business	business	NN
10060	45	15	areas	area	NNS
10060	45	16	.	.	.
10060	46	1	Numerous	numerous	JJ
10060	46	2	studies	study	NNS
10060	46	3	have	have	VBP
10060	46	4	explored	explore	VBN
10060	46	5	knowledge	knowledge	NN
10060	46	6	-	-	HYPH
10060	46	7	innovation	innovation	NN
10060	46	8	systems	system	NNS
10060	46	9	for	for	IN
10060	46	10	product	product	NN
10060	46	11	services.19	services.19	NNP
10060	46	12	Cheung	Cheung	NNP
10060	46	13	et	et	FW
10060	46	14	al	al	NNP
10060	46	15	.	.	.
10060	47	1	proposed	propose	VBD
10060	47	2	a	a	DT
10060	47	3	knowledge	knowledge	NN
10060	47	4	system	system	NN
10060	47	5	to	to	TO
10060	47	6	improve	improve	VB
10060	47	7	customer	customer	NN
10060	47	8	service.20	service.20	NNP
10060	47	9	Vitharana	Vitharana	NNP
10060	47	10	,	,	,
10060	47	11	Jain	Jain	NNP
10060	47	12	,	,	,
10060	47	13	and	and	CC
10060	47	14	Zahedi	Zahedi	NNP
10060	47	15	composed	compose	VBD
10060	47	16	a	a	DT
10060	47	17	knowledge	knowledge	NN
10060	47	18	repository	repository	NN
10060	47	19	to	to	TO
10060	47	20	enhance	enhance	VB
10060	47	21	the	the	DT
10060	47	22	knowledge	knowledge	NN
10060	47	23	-	-	HYPH
10060	47	24	analysis	analysis	NN
10060	47	25	skills	skill	NNS
10060	47	26	of	of	IN
10060	47	27	business	business	NN
10060	47	28	consultants.21	consultants.21	NNP
10060	47	29	From	from	IN
10060	47	30	OF	of	IN
10060	47	31	THE	the	DT
10060	47	32	PEOPLE	PEOPLE	NNS
10060	47	33	,	,	,
10060	47	34	FOR	for	IN
10060	47	35	THE	the	DT
10060	47	36	PEOPLE	PEOPLE	NNPS
10060	47	37	|	|	NNP
10060	47	38	LOU	LOU	NNP
10060	47	39	,	,	,
10060	47	40	WANG	WANG	NNP
10060	47	41	,	,	,
10060	47	42	AND	and	CC
10060	47	43	HE	HE	NNP
10060	47	44	69	69	CD
10060	47	45	https://doi.org/10.6017/ital.v37i3.10060	https://doi.org/10.6017/ital.v37i3.10060	NN
10060	47	46	the	the	DT
10060	47	47	angle	angle	NN
10060	47	48	of	of	IN
10060	47	49	user	user	NN
10060	47	50	demand	demand	NN
10060	47	51	,	,	,
10060	47	52	Zhou	Zhou	NNP
10060	47	53	analyzed	analyze	VBD
10060	47	54	the	the	DT
10060	47	55	elements	element	NNS
10060	47	56	of	of	IN
10060	47	57	service	service	NN
10060	47	58	-	-	HYPH
10060	47	59	platform	platform	NN
10060	47	60	construction	construction	NN
10060	47	61	and	and	CC
10060	47	62	found	find	VBD
10060	47	63	that	that	IN
10060	47	64	crucial	crucial	JJ
10060	47	65	platforms	platform	NNS
10060	47	66	should	should	MD
10060	47	67	serve	serve	VB
10060	47	68	knowledge	knowledge	NN
10060	47	69	service	service	NN
10060	47	70	system	system	NN
10060	47	71	construction	construction	NN
10060	47	72	.	.	.
10060	48	1	22	22	CD
10060	48	2	Scholars	scholar	NNS
10060	48	3	proposed	propose	VBD
10060	48	4	basic	basic	JJ
10060	48	5	models	model	NNS
10060	48	6	for	for	IN
10060	48	7	knowledge	knowledge	NN
10060	48	8	management	management	NN
10060	48	9	and	and	CC
10060	48	10	knowledge	knowledge	NN
10060	48	11	sharing	sharing	NN
10060	48	12	,	,	,
10060	48	13	but	but	CC
10060	48	14	they	-PRON-	PRP
10060	48	15	did	do	VBD
10060	48	16	not	not	RB
10060	48	17	simulate	simulate	VB
10060	48	18	their	-PRON-	PRP$
10060	48	19	applications.23	applications.23	NNP
10060	48	20	Knowledge	Knowledge	NNP
10060	48	21	management	management	NN
10060	48	22	from	from	IN
10060	48	23	the	the	DT
10060	48	24	library	library	JJ
10060	48	25	-	-	HYPH
10060	48	26	science	science	NN
10060	48	27	perspective	perspective	NN
10060	48	28	is	be	VBZ
10060	48	29	very	very	RB
10060	48	30	different	different	JJ
10060	48	31	from	from	IN
10060	48	32	that	that	DT
10060	48	33	in	in	IN
10060	48	34	the	the	DT
10060	48	35	business	business	NN
10060	48	36	area	area	NN
10060	48	37	.	.	.
10060	49	1	Library	library	JJ
10060	49	2	knowledge	knowledge	NN
10060	49	3	management	management	NN
10060	49	4	usually	usually	RB
10060	49	5	refers	refer	VBZ
10060	49	6	to	to	IN
10060	49	7	a	a	DT
10060	49	8	digital	digital	JJ
10060	49	9	library	library	NN
10060	49	10	,	,	,
10060	49	11	especially	especially	RB
10060	49	12	a	a	DT
10060	49	13	personal	personal	JJ
10060	49	14	digital	digital	JJ
10060	49	15	library.24	library.24	NNP
10060	49	16	Others	Others	NNPS
10060	49	17	explore	explore	VBP
10060	49	18	and	and	CC
10060	49	19	attempt	attempt	VBP
10060	49	20	to	to	TO
10060	49	21	construct	construct	VB
10060	49	22	a	a	DT
10060	49	23	personalized	personalized	JJ
10060	49	24	knowledge	knowledge	NN
10060	49	25	service	service	NN
10060	49	26	system,25	system,25	NNP
10060	49	27	while	while	IN
10060	49	28	fewer	few	JJR
10060	49	29	studies	study	NNS
10060	49	30	about	about	IN
10060	49	31	system	system	NN
10060	49	32	designs	design	NNS
10060	49	33	are	be	VBP
10060	49	34	based	base	VBN
10060	49	35	on	on	IN
10060	49	36	the	the	DT
10060	49	37	results	result	NNS
10060	49	38	of	of	IN
10060	49	39	user	user	NN
10060	49	40	surveys	survey	NNS
10060	49	41	in	in	IN
10060	49	42	accordance	accordance	NN
10060	49	43	with	with	IN
10060	49	44	documented	document	VBN
10060	49	45	surveys	survey	NNS
10060	49	46	.	.	.
10060	50	1	We	-PRON-	PRP
10060	50	2	rarely	rarely	RB
10060	50	3	see	see	VBP
10060	50	4	a	a	DT
10060	50	5	user	user	NN
10060	50	6	-	-	HYPH
10060	50	7	feedback	feedback	NN
10060	50	8	study	study	NN
10060	50	9	combined	combine	VBN
10060	50	10	with	with	IN
10060	50	11	the	the	DT
10060	50	12	method	method	NN
10060	50	13	of	of	IN
10060	50	14	using	use	VBG
10060	50	15	users	user	NNS
10060	50	16	’	’	POS
10060	50	17	own	own	JJ
10060	50	18	knowledge	knowledge	NN
10060	50	19	.	.	.
10060	51	1	Users	user	NNS
10060	51	2	themselves	-PRON-	PRP
10060	51	3	know	know	VBP
10060	51	4	what	what	WP
10060	51	5	they	-PRON-	PRP
10060	51	6	desire	desire	VBP
10060	51	7	.	.	.
10060	52	1	If	if	IN
10060	52	2	user	user	NN
10060	52	3	-	-	HYPH
10060	52	4	oriented	orient	VBN
10060	52	5	studies	study	NNS
10060	52	6	separate	separate	VBP
10060	52	7	the	the	DT
10060	52	8	system	system	NN
10060	52	9	design	design	NN
10060	52	10	from	from	IN
10060	52	11	user	user	NN
10060	52	12	-	-	HYPH
10060	52	13	needs	need	VBZ
10060	52	14	analysis	analysis	NN
10060	52	15	or	or	CC
10060	52	16	the	the	DT
10060	52	17	other	other	JJ
10060	52	18	way	way	NN
10060	52	19	around	around	RB
10060	52	20	,	,	,
10060	52	21	the	the	DT
10060	52	22	studies	study	NNS
10060	52	23	may	may	MD
10060	52	24	miss	miss	VB
10060	52	25	the	the	DT
10060	52	26	purpose	purpose	NN
10060	52	27	.	.	.
10060	53	1	Therefore	therefore	RB
10060	53	2	,	,	,
10060	53	3	we	-PRON-	PRP
10060	53	4	propose	propose	VBP
10060	53	5	a	a	DT
10060	53	6	resource	resource	NN
10060	53	7	-	-	HYPH
10060	53	8	organization	organization	NN
10060	53	9	method	method	NN
10060	53	10	based	base	VBN
10060	53	11	on	on	IN
10060	53	12	users	user	NNS
10060	53	13	’	’	POS
10060	53	14	own	own	JJ
10060	53	15	knowledge	knowledge	NN
10060	53	16	to	to	TO
10060	53	17	close	close	VB
10060	53	18	the	the	DT
10060	53	19	distance	distance	NN
10060	53	20	between	between	IN
10060	53	21	the	the	DT
10060	53	22	users	user	NNS
10060	53	23	and	and	CC
10060	53	24	the	the	DT
10060	53	25	system	system	NN
10060	53	26	.	.	.
10060	54	1	RESOURCE	RESOURCE	NNP
10060	54	2	-	-	HYPH
10060	54	3	ORGANIZATION	organization	NN
10060	54	4	MODEL	model	NN
10060	54	5	BASED	base	VBN
10060	54	6	ON	on	IN
10060	54	7	USER	USER	NNP
10060	54	8	COGNITION	cognition	NN
10060	54	9	There	there	EX
10060	54	10	are	be	VBP
10060	54	11	normally	normally	RB
10060	54	12	two	two	CD
10060	54	13	ways	way	NNS
10060	54	14	to	to	TO
10060	54	15	construct	construct	VB
10060	54	16	a	a	DT
10060	54	17	category	category	NN
10060	54	18	system	system	NN
10060	54	19	.	.	.
10060	55	1	One	one	CD
10060	55	2	method	method	NN
10060	55	3	gathers	gather	VBZ
10060	55	4	experts	expert	NNS
10060	55	5	to	to	TO
10060	55	6	determine	determine	VB
10060	55	7	categories	category	NNS
10060	55	8	and	and	CC
10060	55	9	assign	assign	NN
10060	55	10	content	content	NN
10060	55	11	to	to	IN
10060	55	12	them	-PRON-	PRP
10060	55	13	;	;	:
10060	55	14	the	the	DT
10060	55	15	category	category	NN
10060	55	16	system	system	NN
10060	55	17	comes	come	VBZ
10060	55	18	first	first	RB
10060	55	19	and	and	CC
10060	55	20	the	the	DT
10060	55	21	content	content	NN
10060	55	22	second	second	JJ
10060	55	23	.	.	.
10060	56	1	The	the	DT
10060	56	2	other	other	JJ
10060	56	3	method	method	NN
10060	56	4	is	be	VBZ
10060	56	5	to	to	TO
10060	56	6	derive	derive	VB
10060	56	7	a	a	DT
10060	56	8	category	category	NN
10060	56	9	tree	tree	NN
10060	56	10	from	from	IN
10060	56	11	the	the	DT
10060	56	12	content	content	NN
10060	56	13	itself	-PRON-	PRP
10060	56	14	,	,	,
10060	56	15	as	as	IN
10060	56	16	we	-PRON-	PRP
10060	56	17	propose	propose	VBP
10060	56	18	in	in	IN
10060	56	19	this	this	DT
10060	56	20	paper	paper	NN
10060	56	21	.	.	.
10060	57	1	In	in	IN
10060	57	2	this	this	DT
10060	57	3	way	way	NN
10060	57	4	,	,	,
10060	57	5	the	the	DT
10060	57	6	content	content	NN
10060	57	7	takes	take	VBZ
10060	57	8	priority	priority	NN
10060	57	9	over	over	IN
10060	57	10	the	the	DT
10060	57	11	categorization	categorization	NN
10060	57	12	system	system	NN
10060	57	13	.	.	.
10060	58	1	In	in	IN
10060	58	2	this	this	DT
10060	58	3	paper	paper	NN
10060	58	4	,	,	,
10060	58	5	we	-PRON-	PRP
10060	58	6	focus	focus	VBP
10060	58	7	on	on	IN
10060	58	8	this	this	DT
10060	58	9	second	second	JJ
10060	58	10	way	way	NN
10060	58	11	to	to	TO
10060	58	12	organize	organize	VB
10060	58	13	resources	resource	NNS
10060	58	14	and	and	CC
10060	58	15	index	index	NN
10060	58	16	content	content	NN
10060	58	17	.	.	.
10060	59	1	Resource	resource	NN
10060	59	2	organization	organization	NN
10060	59	3	requires	require	VBZ
10060	59	4	a	a	DT
10060	59	5	series	series	NN
10060	59	6	of	of	IN
10060	59	7	steps	step	NNS
10060	59	8	,	,	,
10060	59	9	including	include	VBG
10060	59	10	information	information	NN
10060	59	11	processes	process	NNS
10060	59	12	,	,	,
10060	59	13	extraction	extraction	NN
10060	59	14	,	,	,
10060	59	15	and	and	CC
10060	59	16	organization	organization	NN
10060	59	17	.	.	.
10060	60	1	Figure	figure	NN
10060	60	2	2	2	CD
10060	60	3	shows	show	VBZ
10060	60	4	the	the	DT
10060	60	5	resource	resource	NN
10060	60	6	-	-	HYPH
10060	60	7	organization	organization	NN
10060	60	8	model	model	NN
10060	60	9	based	base	VBN
10060	60	10	on	on	IN
10060	60	11	user	user	NN
10060	60	12	cognition	cognition	NN
10060	60	13	.	.	.
10060	61	1	This	this	DT
10060	61	2	model	model	NN
10060	61	3	fits	fit	VBZ
10060	61	4	the	the	DT
10060	61	5	needs	need	NNS
10060	61	6	of	of	IN
10060	61	7	digital	digital	JJ
10060	61	8	resources	resource	NNS
10060	61	9	with	with	IN
10060	61	10	comments	comment	NNS
10060	61	11	and	and	CC
10060	61	12	reviews	review	NNS
10060	61	13	.	.	.
10060	62	1	The	the	DT
10060	62	2	model	model	NN
10060	62	3	has	have	VBZ
10060	62	4	two	two	CD
10060	62	5	interrelated	interrelated	JJ
10060	62	6	parts	part	NNS
10060	62	7	.	.	.
10060	63	1	One	one	CD
10060	63	2	is	be	VBZ
10060	63	3	for	for	IN
10060	63	4	indexing	index	VBG
10060	63	5	the	the	DT
10060	63	6	content	content	NN
10060	63	7	,	,	,
10060	63	8	and	and	CC
10060	63	9	the	the	DT
10060	63	10	other	other	JJ
10060	63	11	is	be	VBZ
10060	63	12	for	for	IN
10060	63	13	knowledge	knowledge	NN
10060	63	14	recommendations	recommendation	NNS
10060	63	15	.	.	.
10060	64	1	For	for	IN
10060	64	2	the	the	DT
10060	64	3	first	first	JJ
10060	64	4	part	part	NN
10060	64	5	,	,	,
10060	64	6	the	the	DT
10060	64	7	model	model	NN
10060	64	8	integrates	integrate	VBZ
10060	64	9	all	all	PDT
10060	64	10	the	the	DT
10060	64	11	comments	comment	NNS
10060	64	12	and	and	CC
10060	64	13	reviews	review	NNS
10060	64	14	of	of	IN
10060	64	15	all	all	DT
10060	64	16	literature	literature	NN
10060	64	17	in	in	IN
10060	64	18	an	an	DT
10060	64	19	area	area	NN
10060	64	20	or	or	CC
10060	64	21	the	the	DT
10060	64	22	whole	whole	JJ
10060	64	23	resource	resource	NN
10060	64	24	.	.	.
10060	65	1	The	the	DT
10060	65	2	core	core	NN
10060	65	3	concepts	concept	NNS
10060	65	4	and	and	CC
10060	65	5	the	the	DT
10060	65	6	relationships	relationship	NNS
10060	65	7	among	among	IN
10060	65	8	the	the	DT
10060	65	9	concepts	concept	NNS
10060	65	10	are	be	VBP
10060	65	11	extracted	extract	VBN
10060	65	12	through	through	IN
10060	65	13	natural	natural	JJ
10060	65	14	language	language	NN
10060	65	15	processing	processing	NN
10060	65	16	.	.	.
10060	66	1	The	the	DT
10060	66	2	relationships	relationship	NNS
10060	66	3	between	between	IN
10060	66	4	concepts	concept	NNS
10060	66	5	are	be	VBP
10060	66	6	either	either	DT
10060	66	7	subordination	subordination	NN
10060	66	8	and	and	CC
10060	66	9	correlation	correlation	NN
10060	66	10	.	.	.
10060	67	1	A	a	DT
10060	67	2	triple	triple	JJ
10060	67	3	consists	consist	NNS
10060	67	4	of	of	IN
10060	67	5	two	two	CD
10060	67	6	core	core	NN
10060	67	7	concepts	concept	NNS
10060	67	8	and	and	CC
10060	67	9	their	-PRON-	PRP$
10060	67	10	relationship	relationship	NN
10060	67	11	.	.	.
10060	68	1	The	the	DT
10060	68	2	triple	triple	JJ
10060	68	3	set	set	NN
10060	68	4	includes	include	VBZ
10060	68	5	all	all	DT
10060	68	6	triples	triple	NNS
10060	68	7	.	.	.
10060	69	1	Next	next	RB
10060	69	2	,	,	,
10060	69	3	all	all	DT
10060	69	4	books	book	NNS
10060	69	5	are	be	VBP
10060	69	6	indexed	index	VBN
10060	69	7	by	by	IN
10060	69	8	taxonomy	taxonomy	NN
10060	69	9	in	in	IN
10060	69	10	the	the	DT
10060	69	11	new	new	JJ
10060	69	12	category	category	NN
10060	69	13	system	system	NN
10060	69	14	.	.	.
10060	70	1	However	however	RB
10060	70	2	,	,	,
10060	70	3	the	the	DT
10060	70	4	indexing	indexing	NN
10060	70	5	of	of	IN
10060	70	6	every	every	DT
10060	70	7	book	book	NN
10060	70	8	is	be	VBZ
10060	70	9	not	not	RB
10060	70	10	based	base	VBN
10060	70	11	upon	upon	IN
10060	70	12	the	the	DT
10060	70	13	traditional	traditional	JJ
10060	70	14	method	method	NN
10060	70	15	,	,	,
10060	70	16	which	which	WDT
10060	70	17	is	be	VBZ
10060	70	18	to	to	TO
10060	70	19	manually	manually	RB
10060	70	20	determine	determine	VB
10060	70	21	each	each	DT
10060	70	22	category	category	NN
10060	70	23	by	by	IN
10060	70	24	reading	read	VBG
10060	70	25	the	the	DT
10060	70	26	literature	literature	NN
10060	70	27	.	.	.
10060	71	1	We	-PRON-	PRP
10060	71	2	use	use	VBP
10060	71	3	a	a	DT
10060	71	4	method	method	NN
10060	71	5	based	base	VBN
10060	71	6	on	on	IN
10060	71	7	the	the	DT
10060	71	8	books	book	NNS
10060	71	9	’	’	POS
10060	71	10	content	content	NN
10060	71	11	.	.	.
10060	72	1	While	while	IN
10060	72	2	we	-PRON-	PRP
10060	72	3	are	be	VBP
10060	72	4	extracting	extract	VBG
10060	72	5	the	the	DT
10060	72	6	core	core	NN
10060	72	7	concepts	concept	NNS
10060	72	8	from	from	IN
10060	72	9	all	all	DT
10060	72	10	books	book	NNS
10060	72	11	we	-PRON-	PRP
10060	72	12	extract	extract	VBP
10060	72	13	the	the	DT
10060	72	14	core	core	NN
10060	72	15	concepts	concept	NNS
10060	72	16	from	from	IN
10060	72	17	every	every	DT
10060	72	18	book	book	NN
10060	72	19	by	by	IN
10060	72	20	the	the	DT
10060	72	21	same	same	JJ
10060	72	22	semantic	semantic	JJ
10060	72	23	-	-	HYPH
10060	72	24	analysis	analysis	NN
10060	72	25	methods	method	NNS
10060	72	26	and	and	CC
10060	72	27	build	build	VB
10060	72	28	up	up	RP
10060	72	29	triples	triple	NNS
10060	72	30	for	for	IN
10060	72	31	the	the	DT
10060	72	32	individual	individual	JJ
10060	72	33	book	book	NN
10060	72	34	.	.	.
10060	73	1	Then	then	RB
10060	73	2	the	the	DT
10060	73	3	triples	triple	NNS
10060	73	4	of	of	IN
10060	73	5	this	this	DT
10060	73	6	book	book	NN
10060	73	7	can	can	MD
10060	73	8	match	match	VB
10060	73	9	the	the	DT
10060	73	10	triple	triple	JJ
10060	73	11	set	set	NN
10060	73	12	in	in	IN
10060	73	13	the	the	DT
10060	73	14	new	new	JJ
10060	73	15	category	category	NN
10060	73	16	system	system	NN
10060	73	17	.	.	.
10060	74	1	Once	once	RB
10060	74	2	a	a	DT
10060	74	3	triple	triple	NN
10060	74	4	in	in	IN
10060	74	5	a	a	DT
10060	74	6	single	single	JJ
10060	74	7	book	book	NN
10060	74	8	yields	yield	VBZ
10060	74	9	a	a	DT
10060	74	10	maximum	maximum	JJ
10060	74	11	matching	matching	NN
10060	74	12	value	value	NN
10060	74	13	,	,	,
10060	74	14	the	the	DT
10060	74	15	core	core	NN
10060	74	16	concepts	concept	NNS
10060	74	17	in	in	IN
10060	74	18	the	the	DT
10060	74	19	triple	triple	JJ
10060	74	20	set	set	NN
10060	74	21	will	will	MD
10060	74	22	be	be	VB
10060	74	23	indexed	index	VBN
10060	74	24	as	as	IN
10060	74	25	the	the	DT
10060	74	26	keywords	keyword	NNS
10060	74	27	of	of	IN
10060	74	28	the	the	DT
10060	74	29	book	book	NN
10060	74	30	.	.	.
10060	75	1	A	a	DT
10060	75	2	few	few	JJ
10060	75	3	examples	example	NNS
10060	75	4	of	of	IN
10060	75	5	the	the	DT
10060	75	6	matching	matching	NN
10060	75	7	process	process	NN
10060	75	8	will	will	MD
10060	75	9	be	be	VB
10060	75	10	discussed	discuss	VBN
10060	75	11	in	in	IN
10060	75	12	the	the	DT
10060	75	13	empirical	empirical	JJ
10060	75	14	study	study	NN
10060	75	15	(	(	-LRB-
10060	75	16	in	in	IN
10060	75	17	the	the	DT
10060	75	18	section	section	NN
10060	75	19	“	"	``
10060	75	20	Indexing	Indexing	NNP
10060	75	21	Books	Books	NNPS
10060	75	22	”	"	''
10060	75	23	)	)	-RRB-
10060	75	24	.	.	.
10060	76	1	The	the	DT
10060	76	2	first	first	JJ
10060	76	3	part	part	NN
10060	76	4	is	be	VBZ
10060	76	5	about	about	IN
10060	76	6	comments	comment	NNS
10060	76	7	and	and	CC
10060	76	8	reviews	review	NNS
10060	76	9	,	,	,
10060	76	10	which	which	WDT
10060	76	11	are	be	VBP
10060	76	12	unstructured	unstructured	JJ
10060	76	13	data	datum	NNS
10060	76	14	.	.	.
10060	77	1	The	the	DT
10060	77	2	second	second	JJ
10060	77	3	part	part	NN
10060	77	4	is	be	VBZ
10060	77	5	to	to	TO
10060	77	6	make	make	VB
10060	77	7	use	use	NN
10060	77	8	of	of	IN
10060	77	9	structural	structural	JJ
10060	77	10	data	datum	NNS
10060	77	11	in	in	IN
10060	77	12	the	the	DT
10060	77	13	bibliography	bibliography	NN
10060	77	14	to	to	TO
10060	77	15	build	build	VB
10060	77	16	a	a	DT
10060	77	17	semantic	semantic	JJ
10060	77	18	network	network	NN
10060	77	19	.	.	.
10060	78	1	Structural	structural	JJ
10060	78	2	data	datum	NNS
10060	78	3	,	,	,
10060	78	4	including	include	VBG
10060	78	5	titles	title	NNS
10060	78	6	,	,	,
10060	78	7	keywords	keyword	NNS
10060	78	8	,	,	,
10060	78	9	authors	author	NNS
10060	78	10	,	,	,
10060	78	11	and	and	CC
10060	78	12	publishers	publisher	NNS
10060	78	13	,	,	,
10060	78	14	is	be	VBZ
10060	78	15	stored	store	VBN
10060	78	16	separately	separately	RB
10060	78	17	.	.	.
10060	79	1	We	-PRON-	PRP
10060	79	2	calculate	calculate	VBP
10060	79	3	the	the	DT
10060	79	4	INFORMATION	INFORMATION	NNP
10060	79	5	TECHNOLOGY	TECHNOLOGY	NNP
10060	79	6	AND	and	CC
10060	79	7	LIBRARIES	LIBRARIES	NNP
10060	79	8	|	|	NNP
10060	79	9	SEPTEMBER	SEPTEMBER	NNP
10060	79	10	2018	2018	CD
10060	79	11	70	70	CD
10060	79	12	informetrics	informetric	NNS
10060	79	13	relationships	relationship	NNS
10060	79	14	among	among	IN
10060	79	15	the	the	DT
10060	79	16	entities	entity	NNS
10060	79	17	.	.	.
10060	80	1	The	the	DT
10060	80	2	relationships	relationship	NNS
10060	80	3	can	can	MD
10060	80	4	be	be	VB
10060	80	5	among	among	IN
10060	80	6	different	different	JJ
10060	80	7	entities	entity	NNS
10060	80	8	,	,	,
10060	80	9	such	such	JJ
10060	80	10	as	as	IN
10060	80	11	between	between	IN
10060	80	12	one	one	CD
10060	80	13	author	author	NN
10060	80	14	and	and	CC
10060	80	15	another	another	DT
10060	80	16	or	or	CC
10060	80	17	between	between	IN
10060	80	18	an	an	DT
10060	80	19	author	author	NN
10060	80	20	and	and	CC
10060	80	21	a	a	DT
10060	80	22	publisher	publisher	NN
10060	80	23	.	.	.
10060	81	1	Then	then	RB
10060	81	2	two	two	CD
10060	81	3	entities	entity	NNS
10060	81	4	and	and	CC
10060	81	5	their	-PRON-	PRP$
10060	81	6	relationship	relationship	NN
10060	81	7	compose	compose	VBP
10060	81	8	a	a	DT
10060	81	9	triple	triple	NN
10060	81	10	.	.	.
10060	82	1	The	the	DT
10060	82	2	components	component	NNS
10060	82	3	in	in	IN
10060	82	4	triples	triple	NNS
10060	82	5	are	be	VBP
10060	82	6	linked	link	VBN
10060	82	7	to	to	IN
10060	82	8	each	each	DT
10060	82	9	other	other	JJ
10060	82	10	,	,	,
10060	82	11	which	which	WDT
10060	82	12	makes	make	VBZ
10060	82	13	them	-PRON-	PRP
10060	82	14	semantic	semantic	JJ
10060	82	15	resources	resource	NNS
10060	82	16	.	.	.
10060	83	1	Furthermore	furthermore	RB
10060	83	2	,	,	,
10060	83	3	the	the	DT
10060	83	4	keywords	keyword	NNS
10060	83	5	in	in	IN
10060	83	6	structural	structural	JJ
10060	83	7	data	datum	NNS
10060	83	8	are	be	VBP
10060	83	9	not	not	RB
10060	83	10	the	the	DT
10060	83	11	original	original	JJ
10060	83	12	keywords	keyword	NNS
10060	83	13	before	before	IN
10060	83	14	the	the	DT
10060	83	15	new	new	JJ
10060	83	16	category	category	NN
10060	83	17	system	system	NN
10060	83	18	but	but	CC
10060	83	19	are	be	VBP
10060	83	20	the	the	DT
10060	83	21	modified	modified	JJ
10060	83	22	keywords	keyword	NNS
10060	83	23	.	.	.
10060	84	1	Finally	finally	RB
10060	84	2	,	,	,
10060	84	3	the	the	DT
10060	84	4	reindexed	reindexe	VBN
10060	84	5	resources	resource	NNS
10060	84	6	(	(	-LRB-
10060	84	7	books	book	NNS
10060	84	8	in	in	IN
10060	84	9	the	the	DT
10060	84	10	new	new	JJ
10060	84	11	category	category	NN
10060	84	12	)	)	-RRB-
10060	84	13	and	and	CC
10060	84	14	semantic	semantic	JJ
10060	84	15	resources	resource	NNS
10060	84	16	(	(	-LRB-
10060	84	17	the	the	DT
10060	84	18	triples	triple	NNS
10060	84	19	from	from	IN
10060	84	20	structural	structural	JJ
10060	84	21	data	datum	NNS
10060	84	22	)	)	-RRB-
10060	84	23	are	be	VBP
10060	84	24	both	both	DT
10060	84	25	used	use	VBN
10060	84	26	to	to	TO
10060	84	27	build	build	VB
10060	84	28	the	the	DT
10060	84	29	knowledge	knowledge	NN
10060	84	30	network	network	NN
10060	84	31	.	.	.
10060	85	1	Figure	figure	NN
10060	85	2	2	2	CD
10060	85	3	.	.	.
10060	86	1	Resource	resource	NN
10060	86	2	-	-	HYPH
10060	86	3	organization	organization	NN
10060	86	4	model	model	NN
10060	86	5	based	base	VBN
10060	86	6	on	on	IN
10060	86	7	user	user	NN
10060	86	8	cognition	cognition	NN
10060	86	9	.	.	.
10060	87	1	However	however	RB
10060	87	2	,	,	,
10060	87	3	why	why	WRB
10060	87	4	is	be	VBZ
10060	87	5	it	-PRON-	PRP
10060	87	6	important	important	JJ
10060	87	7	to	to	TO
10060	87	8	use	use	VB
10060	87	9	both	both	DT
10060	87	10	unstructured	unstructured	JJ
10060	87	11	data	datum	NNS
10060	87	12	and	and	CC
10060	87	13	structural	structural	JJ
10060	87	14	data	datum	NNS
10060	87	15	?	?	.
10060	88	1	The	the	DT
10060	88	2	reason	reason	NN
10060	88	3	is	be	VBZ
10060	88	4	to	to	TO
10060	88	5	complete	complete	VB
10060	88	6	the	the	DT
10060	88	7	entire	entire	JJ
10060	88	8	content	content	NN
10060	88	9	of	of	IN
10060	88	10	a	a	DT
10060	88	11	literature	literature	NN
10060	88	12	resource	resource	NN
10060	88	13	.	.	.
10060	89	1	Neither	neither	DT
10060	89	2	of	of	IN
10060	89	3	them	-PRON-	PRP
10060	89	4	can	can	MD
10060	89	5	fully	fully	RB
10060	89	6	represent	represent	VB
10060	89	7	the	the	DT
10060	89	8	whole	whole	JJ
10060	89	9	semantics	semantic	NNS
10060	89	10	for	for	IN
10060	89	11	a	a	DT
10060	89	12	literature	literature	NN
10060	89	13	resource	resource	NN
10060	89	14	.	.	.
10060	90	1	Structural	structural	JJ
10060	90	2	data	data	NN
10060	90	3	lacks	lack	VBZ
10060	90	4	subjective	subjective	JJ
10060	90	5	content	content	NN
10060	90	6	,	,	,
10060	90	7	and	and	CC
10060	90	8	unstructured	unstructured	JJ
10060	90	9	data	datum	NNS
10060	90	10	lacks	lack	VBZ
10060	90	11	basic	basic	JJ
10060	90	12	information	information	NN
10060	90	13	.	.	.
10060	91	1	Thus	thus	RB
10060	91	2	,	,	,
10060	91	3	a	a	DT
10060	91	4	full	full	JJ
10060	91	5	semantic	semantic	JJ
10060	91	6	network	network	NN
10060	91	7	can	can	MD
10060	91	8	be	be	VB
10060	91	9	built	build	VBN
10060	91	10	using	use	VBG
10060	91	11	both	both	DT
10060	91	12	kinds	kind	NNS
10060	91	13	of	of	IN
10060	91	14	data	datum	NNS
10060	91	15	.	.	.
10060	92	1	OF	of	IN
10060	92	2	THE	the	DT
10060	92	3	PEOPLE	PEOPLE	NNS
10060	92	4	,	,	,
10060	92	5	FOR	for	IN
10060	92	6	THE	the	DT
10060	92	7	PEOPLE	PEOPLE	NNPS
10060	92	8	|	|	NNP
10060	92	9	LOU	LOU	NNP
10060	92	10	,	,	,
10060	92	11	WANG	WANG	NNP
10060	92	12	,	,	,
10060	92	13	AND	and	CC
10060	92	14	HE	he	PRP
10060	92	15	71	71	CD
10060	92	16	https://doi.org/10.6017/ital.v37i3.10060	https://doi.org/10.6017/ital.v37i3.10060	NN
10060	92	17	RESOURCE	RESOURCE	NNP
10060	92	18	-	-	HYPH
10060	92	19	ORGANIZATION	ORGANIZATION	NNP
10060	92	20	EXPERIMENT	experiment	NN
10060	92	21	Object	Object	NNP
10060	92	22	Selection	Selection	NNP
10060	92	23	Located	locate	VBN
10060	92	24	in	in	IN
10060	92	25	Portland	Portland	NNP
10060	92	26	,	,	,
10060	92	27	Oregon	Oregon	NNP
10060	92	28	,	,	,
10060	92	29	Powell	Powell	NNP
10060	92	30	’s	’s	NNP
10060	92	31	City	City	NNP
10060	92	32	of	of	IN
10060	92	33	Books	Books	NNP
10060	92	34	(	(	-LRB-
10060	92	35	hereafter	hereafter	RB
10060	92	36	referred	refer	VBN
10060	92	37	to	to	IN
10060	92	38	as	as	IN
10060	92	39	“	"	``
10060	92	40	Book	Book	NNP
10060	92	41	City	City	NNP
10060	92	42	”	"	''
10060	92	43	)	)	-RRB-
10060	92	44	is	be	VBZ
10060	92	45	one	one	CD
10060	92	46	of	of	IN
10060	92	47	the	the	DT
10060	92	48	largest	large	JJS
10060	92	49	bookstores	bookstore	NNS
10060	92	50	in	in	IN
10060	92	51	the	the	DT
10060	92	52	United	United	NNP
10060	92	53	States	States	NNP
10060	92	54	,	,	,
10060	92	55	with	with	IN
10060	92	56	200	200	CD
10060	92	57	million	million	CD
10060	92	58	books	book	NNS
10060	92	59	in	in	IN
10060	92	60	its	-PRON-	PRP$
10060	92	61	inventory	inventory	NN
10060	92	62	.	.	.
10060	93	1	Book	Book	NNP
10060	93	2	City	City	NNP
10060	93	3	caught	catch	VBD
10060	93	4	our	-PRON-	PRP$
10060	93	5	eyes	eye	NNS
10060	93	6	for	for	IN
10060	93	7	four	four	CD
10060	93	8	reasons	reason	NNS
10060	93	9	.	.	.
10060	94	1	(	(	-LRB-
10060	94	2	1	1	LS
10060	94	3	)	)	-RRB-
10060	94	4	The	the	DT
10060	94	5	comments	comment	NNS
10060	94	6	and	and	CC
10060	94	7	reviews	review	NNS
10060	94	8	of	of	IN
10060	94	9	books	book	NNS
10060	94	10	on	on	IN
10060	94	11	Book	Book	NNP
10060	94	12	City	City	NNP
10060	94	13	’s	’s	POS
10060	94	14	website	website	NN
10060	94	15	are	be	VBP
10060	94	16	well	well	RB
10060	94	17	constructed	construct	VBN
10060	94	18	and	and	CC
10060	94	19	plentiful	plentiful	JJ
10060	94	20	.	.	.
10060	95	1	The	the	DT
10060	95	2	National	National	NNP
10060	95	3	Geographic	Geographic	NNP
10060	95	4	Channel	Channel	NNP
10060	95	5	established	establish	VBD
10060	95	6	it	-PRON-	PRP
10060	95	7	as	as	IN
10060	95	8	one	one	CD
10060	95	9	of	of	IN
10060	95	10	the	the	DT
10060	95	11	ten	ten	CD
10060	95	12	best	good	JJS
10060	95	13	bookstores	bookstore	NNS
10060	95	14	in	in	IN
10060	95	15	the	the	DT
10060	95	16	world.26	world.26	NNP
10060	95	17	Atlantis	Atlantis	NNP
10060	95	18	Books	Books	NNP
10060	95	19	,	,	,
10060	95	20	Pendulo	Pendulo	NNP
10060	95	21	,	,	,
10060	95	22	and	and	CC
10060	95	23	Munro	Munro	NNP
10060	95	24	's	's	POS
10060	95	25	Books	book	NNS
10060	95	26	are	be	VBP
10060	95	27	also	also	RB
10060	95	28	on	on	IN
10060	95	29	the	the	DT
10060	95	30	list	list	NN
10060	95	31	.	.	.
10060	96	1	Among	among	IN
10060	96	2	these	these	DT
10060	96	3	bookstores	bookstore	NNS
10060	96	4	,	,	,
10060	96	5	only	only	RB
10060	96	6	Book	Book	NNP
10060	96	7	City	City	NNP
10060	96	8	and	and	CC
10060	96	9	Munro	Munro	NNP
10060	96	10	’s	’s	POS
10060	96	11	Books	book	NNS
10060	96	12	have	have	VBP
10060	96	13	indexed	index	VBN
10060	96	14	the	the	DT
10060	96	15	information	information	NN
10060	96	16	of	of	IN
10060	96	17	comments	comment	NNS
10060	96	18	and	and	CC
10060	96	19	reviews	review	NNS
10060	96	20	.	.	.
10060	97	1	Since	since	IN
10060	97	2	user	user	NN
10060	97	3	reviews	review	NNS
10060	97	4	are	be	VBP
10060	97	5	fundamental	fundamental	JJ
10060	97	6	to	to	IN
10060	97	7	this	this	DT
10060	97	8	study	study	NN
10060	97	9	,	,	,
10060	97	10	we	-PRON-	PRP
10060	97	11	restricted	restrict	VBD
10060	97	12	ourselves	-PRON-	PRP
10060	97	13	to	to	IN
10060	97	14	bookstores	bookstore	NNS
10060	97	15	that	that	WDT
10060	97	16	provided	provide	VBD
10060	97	17	user	user	NN
10060	97	18	reviews	review	NNS
10060	97	19	.	.	.
10060	98	1	(	(	-LRB-
10060	98	2	2	2	LS
10060	98	3	)	)	-RRB-
10060	98	4	We	-PRON-	PRP
10060	98	5	excluded	exclude	VBD
10060	98	6	libraries	library	NNS
10060	98	7	because	because	IN
10060	98	8	literature	literature	NN
10060	98	9	resources	resource	NNS
10060	98	10	have	have	VBP
10060	98	11	been	be	VBN
10060	98	12	well	well	RB
10060	98	13	organized	organize	VBN
10060	98	14	in	in	IN
10060	98	15	libraries	library	NNS
10060	98	16	.	.	.
10060	99	1	It	-PRON-	PRP
10060	99	2	might	may	MD
10060	99	3	not	not	RB
10060	99	4	be	be	VB
10060	99	5	necessary	necessary	JJ
10060	99	6	to	to	TO
10060	99	7	reorganize	reorganize	VB
10060	99	8	them	-PRON-	PRP
10060	99	9	according	accord	VBG
10060	99	10	to	to	IN
10060	99	11	user	user	NN
10060	99	12	cognition	cognition	NN
10060	99	13	.	.	.
10060	100	1	However	however	RB
10060	100	2	,	,	,
10060	100	3	we	-PRON-	PRP
10060	100	4	can	can	MD
10060	100	5	put	put	VB
10060	100	6	this	this	DT
10060	100	7	topic	topic	NN
10060	100	8	in	in	IN
10060	100	9	the	the	DT
10060	100	10	future	future	JJ
10060	100	11	study	study	NN
10060	100	12	.	.	.
10060	101	1	(	(	-LRB-
10060	101	2	3	3	LS
10060	101	3	)	)	-RRB-
10060	101	4	Book	Book	NNP
10060	101	5	City	City	NNP
10060	101	6	is	be	VBZ
10060	101	7	a	a	DT
10060	101	8	typical	typical	JJ
10060	101	9	online	online	JJ
10060	101	10	bookstore	bookstore	NN
10060	101	11	that	that	WDT
10060	101	12	also	also	RB
10060	101	13	has	have	VBZ
10060	101	14	a	a	DT
10060	101	15	physical	physical	JJ
10060	101	16	bookstore	bookstore	NN
10060	101	17	.	.	.
10060	102	1	Unlike	unlike	IN
10060	102	2	Amazon	Amazon	NNP
10060	102	3	,	,	,
10060	102	4	Book	Book	NNP
10060	102	5	City	City	NNP
10060	102	6	,	,	,
10060	102	7	Indigo	Indigo	NNPS
10060	102	8	,	,	,
10060	102	9	Barnes	Barnes	NNP
10060	102	10	&	&	CC
10060	102	11	Noble	Noble	NNP
10060	102	12	,	,	,
10060	102	13	and	and	CC
10060	102	14	Munro	Munro	NNP
10060	102	15	’s	’s	POS
10060	102	16	Books	book	NNS
10060	102	17	have	have	VBP
10060	102	18	physical	physical	JJ
10060	102	19	bookstores	bookstore	NNS
10060	102	20	.	.	.
10060	103	1	However	however	RB
10060	103	2	,	,	,
10060	103	3	they	-PRON-	PRP
10060	103	4	all	all	DT
10060	103	5	have	have	VBP
10060	103	6	technological	technological	JJ
10060	103	7	limitations	limitation	NNS
10060	103	8	on	on	IN
10060	103	9	retrieval	retrieval	NN
10060	103	10	-	-	HYPH
10060	103	11	system	system	NN
10060	103	12	and	and	CC
10060	103	13	taxonomical	taxonomical	JJ
10060	103	14	construction	construction	NN
10060	103	15	compared	compare	VBN
10060	103	16	to	to	IN
10060	103	17	Amazon	Amazon	NNP
10060	103	18	.	.	.
10060	104	1	Thus	thus	RB
10060	104	2	,	,	,
10060	104	3	it	-PRON-	PRP
10060	104	4	is	be	VBZ
10060	104	5	necessary	necessary	JJ
10060	104	6	to	to	TO
10060	104	7	investigate	investigate	VB
10060	104	8	these	these	DT
10060	104	9	bookstores	bookstore	NNS
10060	104	10	’	’	POS
10060	104	11	online	online	JJ
10060	104	12	systems	system	NNS
10060	104	13	and	and	CC
10060	104	14	optimize	optimize	VB
10060	104	15	them	-PRON-	PRP
10060	104	16	.	.	.
10060	105	1	(	(	-LRB-
10060	105	2	4	4	LS
10060	105	3	)	)	-RRB-
10060	105	4	The	the	DT
10060	105	5	location	location	NN
10060	105	6	was	be	VBD
10060	105	7	geographically	geographically	RB
10060	105	8	convenient	convenient	JJ
10060	105	9	to	to	IN
10060	105	10	the	the	DT
10060	105	11	researchers	researcher	NNS
10060	105	12	.	.	.
10060	106	1	The	the	DT
10060	106	2	authors	author	NNS
10060	106	3	are	be	VBP
10060	106	4	more	more	RBR
10060	106	5	familiar	familiar	JJ
10060	106	6	with	with	IN
10060	106	7	Book	Book	NNP
10060	106	8	City	City	NNP
10060	106	9	than	than	IN
10060	106	10	other	other	JJ
10060	106	11	bookstores	bookstore	NNS
10060	106	12	.	.	.
10060	107	1	Moreover	moreover	RB
10060	107	2	,	,	,
10060	107	3	we	-PRON-	PRP
10060	107	4	plan	plan	VBP
10060	107	5	on	on	IN
10060	107	6	conducting	conduct	VBG
10060	107	7	a	a	DT
10060	107	8	face	face	NN
10060	107	9	-	-	HYPH
10060	107	10	to	to	IN
10060	107	11	-	-	HYPH
10060	107	12	face	face	NN
10060	107	13	interview	interview	NN
10060	107	14	for	for	IN
10060	107	15	the	the	DT
10060	107	16	user	user	NN
10060	107	17	study	study	NN
10060	107	18	.	.	.
10060	108	1	It	-PRON-	PRP
10060	108	2	is	be	VBZ
10060	108	3	doable	doable	JJ
10060	108	4	only	only	RB
10060	108	5	if	if	IN
10060	108	6	the	the	DT
10060	108	7	authors	author	NNS
10060	108	8	can	can	MD
10060	108	9	get	get	VB
10060	108	10	to	to	IN
10060	108	11	the	the	DT
10060	108	12	bookstore	bookstore	NN
10060	108	13	and	and	CC
10060	108	14	the	the	DT
10060	108	15	users	user	NNS
10060	108	16	who	who	WP
10060	108	17	live	live	VBP
10060	108	18	there	there	RB
10060	108	19	.	.	.
10060	109	1	In	in	IN
10060	109	2	all	all	DT
10060	109	3	,	,	,
10060	109	4	we	-PRON-	PRP
10060	109	5	choose	choose	VBP
10060	109	6	Book	Book	NNP
10060	109	7	City	City	NNP
10060	109	8	as	as	IN
10060	109	9	a	a	DT
10060	109	10	representative	representative	JJ
10060	109	11	object	object	NN
10060	109	12	.	.	.
10060	110	1	Data	Data	NNPS
10060	110	2	Collection	Collection	NNP
10060	110	3	and	and	CC
10060	110	4	Processing	Processing	NNP
10060	110	5	On	on	IN
10060	110	6	December	December	NNP
10060	110	7	22	22	CD
10060	110	8	,	,	,
10060	110	9	2015	2015	CD
10060	110	10	,	,	,
10060	110	11	we	-PRON-	PRP
10060	110	12	randomly	randomly	RB
10060	110	13	selected	select	VBD
10060	110	14	the	the	DT
10060	110	15	field	field	NN
10060	110	16	“	"	``
10060	110	17	Cooking	Cooking	NNP
10060	110	18	and	and	CC
10060	110	19	Food	Food	NNP
10060	110	20	”	"	''
10060	110	21	and	and	CC
10060	110	22	downloaded	download	VBD
10060	110	23	bibliographic	bibliographic	JJ
10060	110	24	data	datum	NNS
10060	110	25	for	for	IN
10060	110	26	462	462	CD
10060	110	27	new	new	JJ
10060	110	28	and	and	CC
10060	110	29	old	old	JJ
10060	110	30	books	book	NNS
10060	110	31	that	that	WDT
10060	110	32	included	include	VBD
10060	110	33	title	title	NN
10060	110	34	,	,	,
10060	110	35	picture	picture	NN
10060	110	36	,	,	,
10060	110	37	synopsis	synopsis	NN
10060	110	38	and	and	CC
10060	110	39	review	review	NN
10060	110	40	,	,	,
10060	110	41	ISBN	ISBN	NNP
10060	110	42	,	,	,
10060	110	43	publication	publication	NN
10060	110	44	date	date	NN
10060	110	45	,	,	,
10060	110	46	author	author	NN
10060	110	47	,	,	,
10060	110	48	and	and	CC
10060	110	49	keywords	keyword	NNS
10060	110	50	.	.	.
10060	111	1	In	in	IN
10060	111	2	our	-PRON-	PRP$
10060	111	3	previous	previous	JJ
10060	111	4	work	work	NN
10060	111	5	we	-PRON-	PRP
10060	111	6	described	describe	VBD
10060	111	7	how	how	WRB
10060	111	8	metadata	metadata	VB
10060	111	9	for	for	IN
10060	111	10	all	all	DT
10060	111	11	kinds	kind	NNS
10060	111	12	of	of	IN
10060	111	13	literature	literature	NN
10060	111	14	can	can	MD
10060	111	15	be	be	VB
10060	111	16	categorized	categorize	VBN
10060	111	17	into	into	IN
10060	111	18	one	one	CD
10060	111	19	of	of	IN
10060	111	20	three	three	CD
10060	111	21	types	type	NNS
10060	111	22	:	:	:
10060	111	23	structural	structural	JJ
10060	111	24	data	datum	NNS
10060	111	25	,	,	,
10060	111	26	semistructural	semistructural	JJ
10060	111	27	data	datum	NNS
10060	111	28	,	,	,
10060	111	29	and	and	CC
10060	111	30	unstructured	unstructured	JJ
10060	111	31	data.27	data.27	NNP
10060	111	32	(	(	-LRB-
10060	111	33	See	see	VB
10060	111	34	table	table	NN
10060	111	35	1	1	CD
10060	111	36	)	)	-RRB-
10060	111	37	.	.	.
10060	112	1	Title	Title	NNP
10060	112	2	,	,	,
10060	112	3	ISBN	ISBN	NNP
10060	112	4	,	,	,
10060	112	5	date	date	NN
10060	112	6	,	,	,
10060	112	7	publisher	publisher	NN
10060	112	8	,	,	,
10060	112	9	and	and	CC
10060	112	10	author	author	NN
10060	112	11	are	be	VBP
10060	112	12	classified	classify	VBN
10060	112	13	as	as	IN
10060	112	14	structural	structural	JJ
10060	112	15	data	datum	NNS
10060	112	16	.	.	.
10060	113	1	Titles	title	NNS
10060	113	2	can	can	MD
10060	113	3	be	be	VB
10060	113	4	seen	see	VBN
10060	113	5	as	as	IN
10060	113	6	structural	structural	JJ
10060	113	7	data	datum	NNS
10060	113	8	or	or	CC
10060	113	9	unstructured	unstructured	JJ
10060	113	10	data	datum	NNS
10060	113	11	depending	depend	VBG
10060	113	12	on	on	IN
10060	113	13	the	the	DT
10060	113	14	need	need	NN
10060	113	15	.	.	.
10060	114	1	Titles	title	NNS
10060	114	2	will	will	MD
10060	114	3	be	be	VB
10060	114	4	considered	consider	VBN
10060	114	5	as	as	IN
10060	114	6	an	an	DT
10060	114	7	indivisible	indivisible	JJ
10060	114	8	entity	entity	NN
10060	114	9	in	in	IN
10060	114	10	this	this	DT
10060	114	11	paper	paper	NN
10060	114	12	as	as	IN
10060	114	13	titles	title	NNS
10060	114	14	need	need	VBP
10060	114	15	to	to	TO
10060	114	16	retain	retain	VB
10060	114	17	their	-PRON-	PRP$
10060	114	18	original	original	JJ
10060	114	19	meanings	meaning	NNS
10060	114	20	.	.	.
10060	115	1	Keywords	keyword	NNS
10060	115	2	are	be	VBP
10060	115	3	considered	consider	VBN
10060	115	4	as	as	IN
10060	115	5	semistructural	semistructural	JJ
10060	115	6	data	datum	NNS
10060	115	7	for	for	IN
10060	115	8	two	two	CD
10060	115	9	reasons	reason	NNS
10060	115	10	:	:	:
10060	115	11	(	(	-LRB-
10060	115	12	1	1	LS
10060	115	13	)	)	-RRB-
10060	115	14	normally	normally	RB
10060	115	15	one	one	CD
10060	115	16	book	book	NN
10060	115	17	is	be	VBZ
10060	115	18	indexed	index	VBN
10060	115	19	with	with	IN
10060	115	20	multiple	multiple	JJ
10060	115	21	keywords	keyword	NNS
10060	115	22	,	,	,
10060	115	23	which	which	WDT
10060	115	24	are	be	VBP
10060	115	25	natural	natural	JJ
10060	115	26	language	language	NN
10060	115	27	;	;	:
10060	115	28	and	and	CC
10060	115	29	(	(	-LRB-
10060	115	30	2	2	LS
10060	115	31	)	)	-RRB-
10060	115	32	keywords	keyword	NNS
10060	115	33	are	be	VBP
10060	115	34	separated	separate	VBN
10060	115	35	by	by	IN
10060	115	36	punctuation	punctuation	NN
10060	115	37	.	.	.
10060	116	1	Each	each	DT
10060	116	2	keyword	keyword	NN
10060	116	3	can	can	MD
10060	116	4	individually	individually	RB
10060	116	5	exist	exist	VB
10060	116	6	with	with	IN
10060	116	7	its	-PRON-	PRP$
10060	116	8	own	own	JJ
10060	116	9	meaning	meaning	NN
10060	116	10	.	.	.
10060	117	1	However	however	RB
10060	117	2	,	,	,
10060	117	3	in	in	IN
10060	117	4	the	the	DT
10060	117	5	current	current	JJ
10060	117	6	category	category	NN
10060	117	7	system	system	NN
10060	117	8	,	,	,
10060	117	9	keywords	keyword	NNS
10060	117	10	are	be	VBP
10060	117	11	the	the	DT
10060	117	12	names	name	NNS
10060	117	13	of	of	IN
10060	117	14	categories	category	NNS
10060	117	15	and	and	CC
10060	117	16	subcategories	subcategorie	NNS
10060	117	17	.	.	.
10060	118	1	Since	since	IN
10060	118	2	we	-PRON-	PRP
10060	118	3	are	be	VBP
10060	118	4	about	about	JJ
10060	118	5	to	to	TO
10060	118	6	reorganize	reorganize	VB
10060	118	7	the	the	DT
10060	118	8	category	category	NN
10060	118	9	system	system	NN
10060	118	10	,	,	,
10060	118	11	the	the	DT
10060	118	12	current	current	JJ
10060	118	13	keywords	keyword	NNS
10060	118	14	will	will	MD
10060	118	15	not	not	RB
10060	118	16	be	be	VB
10060	118	17	included	include	VBN
10060	118	18	in	in	IN
10060	118	19	the	the	DT
10060	118	20	following	follow	VBG
10060	118	21	steps	step	NNS
10060	118	22	.	.	.
10060	119	1	We	-PRON-	PRP
10060	119	2	use	use	VBP
10060	119	3	the	the	DT
10060	119	4	field	field	NN
10060	119	5	“	"	``
10060	119	6	Synopsis	Synopsis	NNP
10060	119	7	and	and	CC
10060	119	8	Review	Review	NNP
10060	119	9	”	"	''
10060	119	10	in	in	IN
10060	119	11	the	the	DT
10060	119	12	downloaded	downloaded	JJ
10060	119	13	bibliographic	bibliographic	JJ
10060	119	14	records	record	NNS
10060	119	15	as	as	IN
10060	119	16	the	the	DT
10060	119	17	source	source	NN
10060	119	18	of	of	IN
10060	119	19	user	user	NN
10060	119	20	cognition	cognition	NN
10060	119	21	.	.	.
10060	120	1	Synopses	synopsis	NNS
10060	120	2	and	and	CC
10060	120	3	reviews	review	NNS
10060	120	4	are	be	VBP
10060	120	5	classified	classify	VBN
10060	120	6	as	as	IN
10060	120	7	unstructured	unstructured	JJ
10060	120	8	data	datum	NNS
10060	120	9	.	.	.
10060	121	1	All	all	DT
10060	121	2	synopses	synopsis	NNS
10060	121	3	and	and	CC
10060	121	4	reviews	review	NNS
10060	121	5	of	of	IN
10060	121	6	a	a	DT
10060	121	7	single	single	JJ
10060	121	8	book	book	NN
10060	121	9	are	be	VBP
10060	121	10	first	first	RB
10060	121	11	incorporated	incorporate	VBN
10060	121	12	into	into	IN
10060	121	13	one	one	CD
10060	121	14	paragraph	paragraph	NN
10060	121	15	,	,	,
10060	121	16	since	since	IN
10060	121	17	some	some	DT
10060	121	18	books	book	NNS
10060	121	19	contain	contain	VBP
10060	121	20	more	more	JJR
10060	121	21	than	than	IN
10060	121	22	one	one	CD
10060	121	23	review	review	NN
10060	121	24	.	.	.
10060	122	1	Structural	structural	JJ
10060	122	2	data	datum	NNS
10060	122	3	will	will	MD
10060	122	4	be	be	VB
10060	122	5	stored	store	VBN
10060	122	6	for	for	IN
10060	122	7	constructing	construct	VBG
10060	122	8	a	a	DT
10060	122	9	knowledge	knowledge	NN
10060	122	10	network	network	NN
10060	122	11	.	.	.
10060	123	1	Unstructured	unstructured	JJ
10060	123	2	data	datum	NNS
10060	123	3	will	will	MD
10060	123	4	be	be	VB
10060	123	5	part	part	NN
10060	123	6	-	-	HYPH
10060	123	7	of	of	IN
10060	123	8	-	-	HYPH
10060	123	9	speech	speech	NN
10060	123	10	tagged	tag	VBN
10060	123	11	and	and	CC
10060	123	12	word	word	NN
10060	123	13	segmented	segment	VBN
10060	123	14	by	by	IN
10060	123	15	the	the	DT
10060	123	16	Stanford	Stanford	NNP
10060	123	17	Segmenter	Segmenter	NNP
10060	123	18	.	.	.
10060	124	1	All	all	PDT
10060	124	2	the	the	DT
10060	124	3	books	book	NNS
10060	124	4	’	’	POS
10060	124	5	metadata	metadata	NN
10060	124	6	are	be	VBP
10060	124	7	stored	store	VBN
10060	124	8	into	into	IN
10060	124	9	the	the	DT
10060	124	10	defined	define	VBN
10060	124	11	three	three	CD
10060	124	12	data	datum	NNS
10060	124	13	types	type	NNS
10060	124	14	and	and	CC
10060	124	15	separate	separate	JJ
10060	124	16	fields	field	NNS
10060	124	17	.	.	.
10060	125	1	Each	each	DT
10060	125	2	field	field	NN
10060	125	3	is	be	VBZ
10060	125	4	linked	link	VBN
10060	125	5	by	by	IN
10060	125	6	the	the	DT
10060	125	7	ISBN	ISBN	NNP
10060	125	8	as	as	IN
10060	125	9	the	the	DT
10060	125	10	primary	primary	JJ
10060	125	11	key	key	NN
10060	125	12	.	.	.
10060	126	1	INFORMATION	INFORMATION	NNP
10060	126	2	TECHNOLOGY	TECHNOLOGY	NNP
10060	126	3	AND	and	CC
10060	126	4	LIBRARIES	library	NNS
10060	126	5	|	|	NNP
10060	126	6	SEPTEMBER	SEPTEMBER	NNP
10060	126	7	2018	2018	CD
10060	126	8	72	72	CD
10060	126	9	Category	Category	NNP
10060	126	10	Organization	Organization	NNP
10060	126	11	First	first	RB
10060	126	12	,	,	,
10060	126	13	the	the	DT
10060	126	14	frequencies	frequency	NNS
10060	126	15	of	of	IN
10060	126	16	words	word	NNS
10060	126	17	in	in	IN
10060	126	18	all	all	DT
10060	126	19	books	book	NNS
10060	126	20	are	be	VBP
10060	126	21	separately	separately	RB
10060	126	22	calculated	calculate	VBN
10060	126	23	after	after	IN
10060	126	24	word	word	NN
10060	126	25	segmenting	segmenting	NN
10060	126	26	so	so	IN
10060	126	27	that	that	IN
10060	126	28	core	core	NN
10060	126	29	concepts	concept	NNS
10060	126	30	are	be	VBP
10060	126	31	identified	identify	VBN
10060	126	32	by	by	IN
10060	126	33	the	the	DT
10060	126	34	frequencies	frequency	NNS
10060	126	35	of	of	IN
10060	126	36	words	word	NNS
10060	126	37	.	.	.
10060	127	1	In	in	IN
10060	127	2	total	total	JJ
10060	127	3	,	,	,
10060	127	4	29,370	29,370	CD
10060	127	5	words	word	NNS
10060	127	6	appeared	appear	VBD
10060	127	7	43,675	43,675	CD
10060	127	8	times	time	NNS
10060	127	9	,	,	,
10060	127	10	after	after	IN
10060	127	11	excluding	exclude	VBG
10060	127	12	stop	stop	NN
10060	127	13	words	word	NNS
10060	127	14	.	.	.
10060	128	1	The	the	DT
10060	128	2	206	206	CD
10060	128	3	words	word	NNS
10060	128	4	in	in	IN
10060	128	5	the	the	DT
10060	128	6	sample	sample	NN
10060	128	7	that	that	WDT
10060	128	8	occurred	occur	VBD
10060	128	9	more	more	JJR
10060	128	10	than	than	IN
10060	128	11	105	105	CD
10060	128	12	times	time	NNS
10060	128	13	appeared	appear	VBD
10060	128	14	34,944	34,944	CD
10060	128	15	times	time	NNS
10060	128	16	.	.	.
10060	129	1	This	this	DT
10060	129	2	subset	subset	NN
10060	129	3	was	be	VBD
10060	129	4	defined	define	VBN
10060	129	5	as	as	IN
10060	129	6	the	the	DT
10060	129	7	core	core	NN
10060	129	8	words	word	NNS
10060	129	9	according	accord	VBG
10060	129	10	to	to	IN
10060	129	11	the	the	DT
10060	129	12	Pareto	Pareto	NNP
10060	129	13	principle	principle	NN
10060	129	14	.	.	.
10060	130	1	Table	table	NN
10060	130	2	1	1	CD
10060	130	3	.	.	.
10060	131	1	Data	Data	NNP
10060	131	2	Sample	Sample	NNP
10060	131	3	.	.	.
10060	132	1	Field	Field	NNP
10060	132	2	Content	Content	NNP
10060	132	3	Data	Data	NNP
10060	132	4	type	type	NN
10060	132	5	Title	title	NN
10060	132	6	A	a	DT
10060	132	7	Modern	modern	JJ
10060	132	8	Way	way	NN
10060	132	9	to	to	TO
10060	132	10	Eat	eat	VB
10060	132	11	:	:	:
10060	132	12	200	200	CD
10060	132	13	+	+	CD
10060	132	14	Satisfying	Satisfying	NNP
10060	132	15	Vegetarian	Vegetarian	NNP
10060	132	16	Recipes	Recipes	NNPS
10060	132	17	Structural	Structural	NNP
10060	132	18	data	datum	NNS
10060	132	19	ISBN	ISBN	NNP
10060	132	20	9781607748038	9781607748038	CD
10060	132	21	Date	Date	NNP
10060	132	22	04/21/2015	04/21/2015	CD
10060	132	23	Publisher	publisher	NN
10060	132	24	Ten	ten	CD
10060	132	25	Speed	Speed	NNP
10060	132	26	Press	Press	NNP
10060	132	27	Author	Author	NNP
10060	132	28	Anna	Anna	NNP
10060	132	29	Jones	Jones	NNP
10060	132	30	KWDS	KWDS	NNP
10060	132	31	Cooking	Cooking	NNP
10060	132	32	and	and	CC
10060	132	33	Food	Food	NNP
10060	132	34	-	-	HYPH
10060	132	35	Vegetarian	Vegetarian	NNP
10060	132	36	and	and	CC
10060	132	37	Natural	natural	JJ
10060	132	38	Semistructural	Semistructural	NNP
10060	132	39	data	datum	NNS
10060	132	40	Synopsis	Synopsis	NNP
10060	132	41	and	and	CC
10060	132	42	Review	Review	NNP
10060	132	43	A	A	NNP
10060	132	44	beautifully	beautifully	RB
10060	132	45	photographed	photographed	JJ
10060	132	46	and	and	CC
10060	132	47	modern	modern	JJ
10060	132	48	vegetarian	vegetarian	JJ
10060	132	49	cookbook	cookbook	NN
10060	132	50	packed	pack	VBN
10060	132	51	with	with	IN
10060	132	52	quick	quick	JJ
10060	132	53	,	,	,
10060	132	54	healthy	healthy	JJ
10060	132	55	,	,	,
10060	132	56	and	and	CC
10060	132	57	fresh	fresh	JJ
10060	132	58	recipes	recipe	NNS
10060	132	59	that	that	WDT
10060	132	60	explore	explore	VBP
10060	132	61	the	the	DT
10060	132	62	full	full	JJ
10060	132	63	breadth	breadth	NN
10060	132	64	of	of	IN
10060	132	65	vegetarian	vegetarian	JJ
10060	132	66	ingredients	ingredient	NNS
10060	132	67	—	—	:
10060	132	68	grains	grain	NNS
10060	132	69	,	,	,
10060	132	70	nuts	nut	NNS
10060	132	71	,	,	,
10060	132	72	seeds	seed	NNS
10060	132	73	,	,	,
10060	132	74	and	and	CC
10060	132	75	seasonal	seasonal	JJ
10060	132	76	vegetables	vegetable	NNS
10060	132	77	—	—	:
10060	132	78	from	from	IN
10060	132	79	Jamie	Jamie	NNP
10060	132	80	Oliver	Oliver	NNP
10060	132	81	's	's	POS
10060	132	82	London	London	NNP
10060	132	83	-	-	HYPH
10060	132	84	based	base	VBN
10060	132	85	food	food	NN
10060	132	86	stylist	stylist	NN
10060	132	87	and	and	CC
10060	132	88	writer	writer	NN
10060	132	89	Anna	Anna	NNP
10060	132	90	Jones	Jones	NNP
10060	132	91	.	.	.
10060	133	1	How	how	WRB
10060	133	2	we	-PRON-	PRP
10060	133	3	want	want	VBP
10060	133	4	to	to	TO
10060	133	5	eat	eat	VB
10060	133	6	is	be	VBZ
10060	133	7	changing	change	VBG
10060	133	8	.	.	.
10060	134	1	More	More	JJR
10060	134	2	and	and	CC
10060	134	3	more	more	JJR
10060	134	4	people	people	NNS
10060	134	5	cook	cook	VBP
10060	134	6	without	without	IN
10060	134	7	meat	meat	NN
10060	134	8	several	several	JJ
10060	134	9	nights	night	NNS
10060	134	10	a	a	DT
10060	134	11	week	week	NN
10060	134	12	and	and	CC
10060	134	13	are	be	VBP
10060	134	14	constantly	constantly	RB
10060	134	15	seeking	seek	VBG
10060	134	16	to	to	IN
10060	134	17	.	.	.
10060	135	1	.	.	.
10060	136	1	.	.	.
10060	137	1	Unstructured	unstructured	JJ
10060	137	2	data	datum	NNS
10060	137	3	We	-PRON-	PRP
10060	137	4	are	be	VBP
10060	137	5	inspired	inspire	VBN
10060	137	6	by	by	IN
10060	137	7	Zhang	Zhang	NNP
10060	137	8	et	et	NNP
10060	137	9	al	al	NNP
10060	137	10	.	.	NNP
10060	137	11	,	,	,
10060	137	12	who	who	WP
10060	137	13	described	describe	VBD
10060	137	14	a	a	DT
10060	137	15	linguistic	linguistic	JJ
10060	137	16	-	-	HYPH
10060	137	17	keywords	keyword	NNS
10060	137	18	-	-	HYPH
10060	137	19	extraction	extraction	NN
10060	137	20	method	method	NN
10060	137	21	by	by	IN
10060	137	22	defining	define	VBG
10060	137	23	multiple	multiple	JJ
10060	137	24	kinds	kind	NNS
10060	137	25	of	of	IN
10060	137	26	relationships	relationship	NNS
10060	137	27	among	among	IN
10060	137	28	words.28	words.28	NNP
10060	137	29	The	the	DT
10060	137	30	relationships	relationship	NNS
10060	137	31	include	include	VBP
10060	137	32	direct	direct	JJ
10060	137	33	relationship	relationship	NN
10060	137	34	,	,	,
10060	137	35	indirect	indirect	JJ
10060	137	36	relationship	relationship	NN
10060	137	37	,	,	,
10060	137	38	part	part	NN
10060	137	39	-	-	HYPH
10060	137	40	whole	whole	JJ
10060	137	41	relationship	relationship	NN
10060	137	42	,	,	,
10060	137	43	and	and	CC
10060	137	44	related	related	JJ
10060	137	45	relationship	relationship	NN
10060	137	46	.	.	.
10060	138	1	•	•	VB
10060	138	2	Direct	direct	JJ
10060	138	3	relationship	relationship	NN
10060	138	4	.	.	.
10060	139	1	Two	two	CD
10060	139	2	core	core	NN
10060	139	3	words	word	NNS
10060	139	4	have	have	VBP
10060	139	5	a	a	DT
10060	139	6	relationship	relationship	NN
10060	139	7	directly	directly	RB
10060	139	8	to	to	IN
10060	139	9	each	each	DT
10060	139	10	other	other	JJ
10060	139	11	.	.	.
10060	140	1	•	•	VB
10060	140	2	Indirect	indirect	JJ
10060	140	3	relationship	relationship	NN
10060	140	4	.	.	.
10060	141	1	Two	two	CD
10060	141	2	core	core	NN
10060	141	3	words	word	NNS
10060	141	4	are	be	VBP
10060	141	5	related	relate	VBN
10060	141	6	and	and	CC
10060	141	7	linked	link	VBN
10060	141	8	by	by	IN
10060	141	9	another	another	DT
10060	141	10	word	word	NN
10060	141	11	as	as	IN
10060	141	12	a	a	DT
10060	141	13	media	media	NN
10060	141	14	.	.	.
10060	142	1	•	•	NNP
10060	142	2	Part	part	NN
10060	142	3	-	-	HYPH
10060	142	4	whole	whole	JJ
10060	142	5	relationship	relationship	NN
10060	142	6	.	.	.
10060	143	1	The	the	DT
10060	143	2	“	"	``
10060	143	3	is	be	VBZ
10060	143	4	a	a	DT
10060	143	5	”	"	''
10060	143	6	relation	relation	NN
10060	143	7	.	.	.
10060	144	1	One	one	CD
10060	144	2	core	core	NN
10060	144	3	word	word	NN
10060	144	4	belongs	belong	VBZ
10060	144	5	to	to	IN
10060	144	6	the	the	DT
10060	144	7	other	other	JJ
10060	144	8	.	.	.
10060	145	1	It	-PRON-	PRP
10060	145	2	is	be	VBZ
10060	145	3	the	the	DT
10060	145	4	most	most	RBS
10060	145	5	common	common	JJ
10060	145	6	relationship	relationship	NN
10060	145	7	in	in	IN
10060	145	8	context	context	NN
10060	145	9	.	.	.
10060	146	1	•	•	VB
10060	146	2	Related	related	JJ
10060	146	3	relationship	relationship	NN
10060	146	4	.	.	.
10060	147	1	Two	two	CD
10060	147	2	core	core	NN
10060	147	3	words	word	NNS
10060	147	4	have	have	VBP
10060	147	5	no	no	DT
10060	147	6	relationships	relationship	NNS
10060	147	7	but	but	CC
10060	147	8	they	-PRON-	PRP
10060	147	9	both	both	DT
10060	147	10	appear	appear	VBP
10060	147	11	in	in	IN
10060	147	12	a	a	DT
10060	147	13	large	large	JJ
10060	147	14	context	context	NN
10060	147	15	.	.	.
10060	148	1	The	the	DT
10060	148	2	first	first	JJ
10060	148	3	two	two	CD
10060	148	4	relationships	relationship	NNS
10060	148	5	can	can	MD
10060	148	6	be	be	VB
10060	148	7	mixed	mix	VBN
10060	148	8	with	with	IN
10060	148	9	the	the	DT
10060	148	10	second	second	JJ
10060	148	11	two	two	CD
10060	148	12	relationships	relationship	NNS
10060	148	13	.	.	.
10060	149	1	For	for	IN
10060	149	2	instance	instance	NN
10060	149	3	,	,	,
10060	149	4	a	a	DT
10060	149	5	part-	part-	NN
10060	149	6	whole	whole	JJ
10060	149	7	relationship	relationship	NN
10060	149	8	can	can	MD
10060	149	9	have	have	VB
10060	149	10	either	either	CC
10060	149	11	a	a	DT
10060	149	12	direct	direct	JJ
10060	149	13	relationship	relationship	NN
10060	149	14	or	or	CC
10060	149	15	an	an	DT
10060	149	16	indirect	indirect	JJ
10060	149	17	relationship	relationship	NN
10060	149	18	.	.	.
10060	150	1	For	for	IN
10060	150	2	this	this	DT
10060	150	3	study	study	NN
10060	150	4	,	,	,
10060	150	5	we	-PRON-	PRP
10060	150	6	combined	combine	VBD
10060	150	7	every	every	DT
10060	150	8	two	two	CD
10060	150	9	core	core	NN
10060	150	10	words	word	NNS
10060	150	11	into	into	IN
10060	150	12	pairs	pair	NNS
10060	150	13	for	for	IN
10060	150	14	analysis	analysis	NN
10060	150	15	.	.	.
10060	151	1	For	for	IN
10060	151	2	example	example	NN
10060	151	3	,	,	,
10060	151	4	the	the	DT
10060	151	5	sentence	sentence	NN
10060	151	6	“	"	``
10060	151	7	A	a	DT
10060	151	8	picnic	picnic	NN
10060	151	9	is	be	VBZ
10060	151	10	a	a	DT
10060	151	11	great	great	JJ
10060	151	12	escape	escape	NN
10060	151	13	from	from	IN
10060	151	14	our	-PRON-	PRP$
10060	151	15	day	day	NN
10060	151	16	-	-	HYPH
10060	151	17	to	to	IN
10060	151	18	-	-	HYPH
10060	151	19	day	day	NN
10060	151	20	and	and	CC
10060	151	21	a	a	DT
10060	151	22	chance	chance	NN
10060	151	23	to	to	TO
10060	151	24	turn	turn	VB
10060	151	25	a	a	DT
10060	151	26	meal	meal	NN
10060	151	27	into	into	IN
10060	151	28	something	something	NN
10060	151	29	more	more	RBR
10060	151	30	festive	festive	JJ
10060	151	31	and	and	CC
10060	151	32	memorable	memorable	JJ
10060	151	33	”	"	''
10060	151	34	would	would	MD
10060	151	35	result	result	VB
10060	151	36	in	in	IN
10060	151	37	several	several	JJ
10060	151	38	core	core	JJ
10060	151	39	-	-	HYPH
10060	151	40	word	word	NN
10060	151	41	pairs	pair	NNS
10060	151	42	,	,	,
10060	151	43	including	include	VBG
10060	151	44	OF	of	IN
10060	151	45	THE	the	DT
10060	151	46	PEOPLE	PEOPLE	NNS
10060	151	47	,	,	,
10060	151	48	FOR	for	IN
10060	151	49	THE	the	DT
10060	151	50	PEOPLE	PEOPLE	NNPS
10060	151	51	|	|	NNP
10060	151	52	LOU	LOU	NNP
10060	151	53	,	,	,
10060	151	54	WANG	WANG	NNP
10060	151	55	,	,	,
10060	151	56	AND	and	CC
10060	151	57	HE	he	PRP
10060	151	58	73	73	CD
10060	151	59	https://doi.org/10.6017/ital.v37i3.10060	https://doi.org/10.6017/ital.v37i3.10060	NN
10060	151	60	“	"	``
10060	151	61	Picnic	Picnic	NNP
10060	151	62	”	"	''
10060	151	63	and	and	CC
10060	151	64	“	"	``
10060	151	65	Meal	meal	NN
10060	151	66	,	,	,
10060	151	67	”	"	''
10060	151	68	“	"	``
10060	151	69	Picnic	Picnic	NNP
10060	151	70	”	"	''
10060	151	71	and	and	CC
10060	151	72	“	"	``
10060	151	73	Festive	festive	JJ
10060	151	74	,	,	,
10060	151	75	”	"	''
10060	151	76	and	and	CC
10060	151	77	“	"	``
10060	151	78	Meal	meal	NN
10060	151	79	”	"	''
10060	151	80	and	and	CC
10060	151	81	“	"	``
10060	151	82	Festive	festive	JJ
10060	151	83	.	.	.
10060	151	84	”	"	''
10060	151	85	For	for	IN
10060	151	86	“	"	``
10060	151	87	Picnic	Picnic	NNP
10060	151	88	”	"	''
10060	151	89	and	and	CC
10060	151	90	“	"	``
10060	151	91	Meal	meal	NN
10060	151	92	,	,	,
10060	151	93	”	"	''
10060	151	94	there	there	EX
10060	151	95	is	be	VBZ
10060	151	96	an	an	DT
10060	151	97	obvious	obvious	JJ
10060	151	98	part	part	NN
10060	151	99	-	-	HYPH
10060	151	100	whole	whole	JJ
10060	151	101	relationship	relationship	NN
10060	151	102	in	in	IN
10060	151	103	this	this	DT
10060	151	104	context	context	NN
10060	151	105	.	.	.
10060	152	1	We	-PRON-	PRP
10060	152	2	observed	observe	VBD
10060	152	3	all	all	PDT
10060	152	4	their	-PRON-	PRP$
10060	152	5	relationships	relationship	NNS
10060	152	6	in	in	IN
10060	152	7	all	all	DT
10060	152	8	books	book	NNS
10060	152	9	and	and	CC
10060	152	10	determined	determine	VBD
10060	152	11	their	-PRON-	PRP$
10060	152	12	relationship	relationship	NN
10060	152	13	as	as	IN
10060	152	14	a	a	DT
10060	152	15	direct	direct	JJ
10060	152	16	part	part	NN
10060	152	17	-	-	HYPH
10060	152	18	whole	whole	JJ
10060	152	19	relationship	relationship	NN
10060	152	20	because	because	IN
10060	152	21	67	67	CD
10060	152	22	percent	percent	NN
10060	152	23	of	of	IN
10060	152	24	their	-PRON-	PRP$
10060	152	25	relationships	relationship	NNS
10060	152	26	are	be	VBP
10060	152	27	part	part	JJ
10060	152	28	-	-	HYPH
10060	152	29	whole	whole	JJ
10060	152	30	relationship	relationship	NN
10060	152	31	,	,	,
10060	152	32	80	80	CD
10060	152	33	percent	percent	NN
10060	152	34	are	be	VBP
10060	152	35	direct	direct	JJ
10060	152	36	relationship	relationship	NN
10060	152	37	,	,	,
10060	152	38	and	and	CC
10060	152	39	others	other	NNS
10060	152	40	are	be	VBP
10060	152	41	related	related	JJ
10060	152	42	relationship	relationship	NN
10060	152	43	.	.	.
10060	153	1	This	this	DT
10060	153	2	is	be	VBZ
10060	153	3	the	the	DT
10060	153	4	case	case	NN
10060	153	5	when	when	WRB
10060	153	6	two	two	CD
10060	153	7	core	core	NN
10060	153	8	words	word	NNS
10060	153	9	are	be	VBP
10060	153	10	in	in	IN
10060	153	11	the	the	DT
10060	153	12	same	same	JJ
10060	153	13	sentence	sentence	NN
10060	153	14	.	.	.
10060	154	1	For	for	IN
10060	154	2	two	two	CD
10060	154	3	words	word	NNS
10060	154	4	in	in	IN
10060	154	5	different	different	JJ
10060	154	6	sentences	sentence	NNS
10060	154	7	but	but	CC
10060	154	8	within	within	IN
10060	154	9	one	one	CD
10060	154	10	context	context	NN
10060	154	11	,	,	,
10060	154	12	we	-PRON-	PRP
10060	154	13	define	define	VBP
10060	154	14	the	the	DT
10060	154	15	words	word	NNS
10060	154	16	’	’	POS
10060	154	17	relationship	relationship	NN
10060	154	18	as	as	IN
10060	154	19	a	a	DT
10060	154	20	sentence	sentence	NN
10060	154	21	relationship	relationship	NN
10060	154	22	.	.	.
10060	155	1	For	for	IN
10060	155	2	example	example	NN
10060	155	3	,	,	,
10060	155	4	“	"	``
10060	155	5	Ingredient	ingredient	NN
10060	155	6	”	"	''
10060	155	7	and	and	CC
10060	155	8	“	"	``
10060	155	9	Meat	Meat	NNP
10060	155	10	”	"	''
10060	155	11	in	in	IN
10060	155	12	one	one	CD
10060	155	13	review	review	NN
10060	155	14	in	in	IN
10060	155	15	table	table	NN
10060	155	16	1	1	CD
10060	155	17	have	have	VBP
10060	155	18	an	an	DT
10060	155	19	indirect	indirect	JJ
10060	155	20	relationship	relationship	NN
10060	155	21	because	because	IN
10060	155	22	they	-PRON-	PRP
10060	155	23	are	be	VBP
10060	155	24	connected	connect	VBN
10060	155	25	by	by	IN
10060	155	26	other	other	JJ
10060	155	27	core	core	NN
10060	155	28	concepts	concept	NNS
10060	155	29	between	between	IN
10060	155	30	them	-PRON-	PRP
10060	155	31	.	.	.
10060	156	1	Therefore	therefore	RB
10060	156	2	,	,	,
10060	156	3	the	the	DT
10060	156	4	relationship	relationship	NN
10060	156	5	between	between	IN
10060	156	6	“	"	``
10060	156	7	Ingredient	Ingredient	NNP
10060	156	8	”	"	''
10060	156	9	and	and	CC
10060	156	10	“	"	``
10060	156	11	Meat	meat	NN
10060	156	12	”	"	''
10060	156	13	is	be	VBZ
10060	156	14	an	an	DT
10060	156	15	indirect	indirect	JJ
10060	156	16	part	part	NN
10060	156	17	-	-	,
10060	156	18	whole	whole	JJ
10060	156	19	one	one	NN
10060	156	20	in	in	IN
10060	156	21	this	this	DT
10060	156	22	context	context	NN
10060	156	23	.	.	.
10060	157	1	For	for	IN
10060	157	2	other	other	JJ
10060	157	3	cases	case	NNS
10060	157	4	,	,	,
10060	157	5	two	two	CD
10060	157	6	concepts	concept	NNS
10060	157	7	are	be	VBP
10060	157	8	either	either	RB
10060	157	9	related	related	JJ
10060	157	10	if	if	IN
10060	157	11	they	-PRON-	PRP
10060	157	12	appear	appear	VBP
10060	157	13	in	in	IN
10060	157	14	the	the	DT
10060	157	15	same	same	JJ
10060	157	16	context	context	NN
10060	157	17	or	or	CC
10060	157	18	are	be	VBP
10060	157	19	not	not	RB
10060	157	20	related	relate	VBN
10060	157	21	if	if	IN
10060	157	22	they	-PRON-	PRP
10060	157	23	do	do	VBP
10060	157	24	not	not	RB
10060	157	25	appear	appear	VB
10060	157	26	in	in	IN
10060	157	27	the	the	DT
10060	157	28	same	same	JJ
10060	157	29	review	review	NN
10060	157	30	.	.	.
10060	158	1	Thus	thus	RB
10060	158	2	,	,	,
10060	158	3	all	all	DT
10060	158	4	couples	couple	NNS
10060	158	5	of	of	IN
10060	158	6	concepts	concept	NNS
10060	158	7	are	be	VBP
10060	158	8	calculated	calculate	VBN
10060	158	9	and	and	CC
10060	158	10	stored	store	VBN
10060	158	11	as	as	IN
10060	158	12	semantic	semantic	JJ
10060	158	13	triples	triple	NNS
10060	158	14	.	.	.
10060	159	1	Figure	figure	NN
10060	159	2	3	3	CD
10060	159	3	.	.	.
10060	160	1	Parts	part	NNS
10060	160	2	of	of	IN
10060	160	3	a	a	DT
10060	160	4	modified	modify	VBN
10060	160	5	category	category	NN
10060	160	6	in	in	IN
10060	160	7	“	"	``
10060	160	8	Cooking	Cooking	NNP
10060	160	9	and	and	CC
10060	160	10	Food	Food	NNP
10060	160	11	”	"	''
10060	160	12	based	base	VBN
10060	160	13	on	on	IN
10060	160	14	user	user	NN
10060	160	15	cognition	cognition	NN
10060	160	16	.	.	.
10060	161	1	The	the	DT
10060	161	2	next	next	JJ
10060	161	3	step	step	NN
10060	161	4	is	be	VBZ
10060	161	5	to	to	TO
10060	161	6	build	build	VB
10060	161	7	up	up	RP
10060	161	8	a	a	DT
10060	161	9	category	category	NN
10060	161	10	tree	tree	NN
10060	161	11	(	(	-LRB-
10060	161	12	figure	figure	NN
10060	161	13	4	4	CD
10060	161	14	)	)	-RRB-
10060	161	15	.	.	.
10060	162	1	A	a	DT
10060	162	2	direct	direct	JJ
10060	162	3	part	part	NN
10060	162	4	-	-	HYPH
10060	162	5	whole	whole	JJ
10060	162	6	relationship	relationship	NN
10060	162	7	is	be	VBZ
10060	162	8	that	that	IN
10060	162	9	between	between	IN
10060	162	10	a	a	DT
10060	162	11	parent	parent	NN
10060	162	12	class	class	NN
10060	162	13	and	and	CC
10060	162	14	child	child	NN
10060	162	15	class	class	NN
10060	162	16	.	.	.
10060	163	1	An	an	DT
10060	163	2	indirect	indirect	JJ
10060	163	3	part	part	NN
10060	163	4	-	-	HYPH
10060	163	5	whole	whole	JJ
10060	163	6	relationship	relationship	NN
10060	163	7	is	be	VBZ
10060	163	8	the	the	DT
10060	163	9	relationship	relationship	NN
10060	163	10	between	between	IN
10060	163	11	a	a	DT
10060	163	12	parent	parent	NN
10060	163	13	class	class	NN
10060	163	14	and	and	CC
10060	163	15	a	a	DT
10060	163	16	grandchild	grandchild	NN
10060	163	17	class	class	NN
10060	163	18	.	.	.
10060	164	1	A	a	DT
10060	164	2	related	related	JJ
10060	164	3	relationship	relationship	NN
10060	164	4	is	be	VBZ
10060	164	5	the	the	DT
10060	164	6	relationship	relationship	NN
10060	164	7	between	between	IN
10060	164	8	sibling	sibling	NN
10060	164	9	classes	class	NNS
10060	164	10	.	.	.
10060	165	1	INFORMATION	INFORMATION	NNP
10060	165	2	TECHNOLOGY	TECHNOLOGY	NNP
10060	165	3	AND	and	CC
10060	165	4	LIBRARIES	library	NNS
10060	165	5	|	|	NNP
10060	165	6	SEPTEMBER	SEPTEMBER	NNP
10060	165	7	2018	2018	CD
10060	165	8	74	74	CD
10060	165	9	Compared	compare	VBN
10060	165	10	to	to	IN
10060	165	11	the	the	DT
10060	165	12	modified	modify	VBN
10060	165	13	category	category	NN
10060	165	14	system	system	NN
10060	165	15	(	(	-LRB-
10060	165	16	figure	figure	NN
10060	165	17	3	3	CD
10060	165	18	)	)	-RRB-
10060	165	19	,	,	,
10060	165	20	the	the	DT
10060	165	21	current	current	JJ
10060	165	22	hierarchical	hierarchical	JJ
10060	165	23	category	category	NN
10060	165	24	system	system	NN
10060	165	25	(	(	-LRB-
10060	165	26	figure	figure	NN
10060	165	27	4	4	CD
10060	165	28	)	)	-RRB-
10060	165	29	has	have	VBZ
10060	165	30	two	two	CD
10060	165	31	major	major	JJ
10060	165	32	issues	issue	NNS
10060	165	33	.	.	.
10060	166	1	First	first	RB
10060	166	2	,	,	,
10060	166	3	some	some	DT
10060	166	4	categories	category	NNS
10060	166	5	’	’	POS
10060	166	6	names	name	NNS
10060	166	7	are	be	VBP
10060	166	8	duplicated	duplicate	VBN
10060	166	9	.	.	.
10060	167	1	For	for	IN
10060	167	2	example	example	NN
10060	167	3	,	,	,
10060	167	4	the	the	DT
10060	167	5	child	child	NN
10060	167	6	class	class	NN
10060	167	7	“	"	``
10060	167	8	By	by	IN
10060	167	9	Ingredient	Ingredient	NNP
10060	167	10	”	"	''
10060	167	11	contains	contain	VBZ
10060	167	12	“	"	``
10060	167	13	Fruit	Fruit	NNP
10060	167	14	,	,	,
10060	167	15	”	"	''
10060	167	16	“	"	``
10060	167	17	Fruits	Fruits	NNPS
10060	167	18	and	and	CC
10060	167	19	Vegetables	vegetable	NNS
10060	167	20	,	,	,
10060	167	21	”	"	''
10060	167	22	and	and	CC
10060	167	23	“	"	``
10060	167	24	Fruits	fruit	NNS
10060	167	25	,	,	,
10060	167	26	Vegetables	Vegetables	NNPS
10060	167	27	,	,	,
10060	167	28	and	and	CC
10060	167	29	Nuts	Nuts	NNP
10060	167	30	.	.	.
10060	167	31	”	"	''
10060	167	32	Second	second	RB
10060	167	33	,	,	,
10060	167	34	there	there	EX
10060	167	35	are	be	VBP
10060	167	36	categories	category	NNS
10060	167	37	without	without	IN
10060	167	38	semantic	semantic	JJ
10060	167	39	meaning	meaning	NN
10060	167	40	,	,	,
10060	167	41	such	such	JJ
10060	167	42	as	as	IN
10060	167	43	“	"	``
10060	167	44	Oversized	Oversized	NNP
10060	167	45	Books	Books	NNPS
10060	167	46	.	.	.
10060	167	47	”	"	''
10060	167	48	These	these	DT
10060	167	49	two	two	CD
10060	167	50	problems	problem	NNS
10060	167	51	brought	bring	VBD
10060	167	52	out	out	RP
10060	167	53	disorderly	disorderly	JJ
10060	167	54	indexing	indexing	NN
10060	167	55	and	and	CC
10060	167	56	recalled	recall	VBD
10060	167	57	many	many	JJ
10060	167	58	irrelevant	irrelevant	JJ
10060	167	59	results	result	NNS
10060	167	60	.	.	.
10060	168	1	For	for	IN
10060	168	2	example	example	NN
10060	168	3	,	,	,
10060	168	4	the	the	DT
10060	168	5	system	system	NN
10060	168	6	would	would	MD
10060	168	7	let	let	VB
10060	168	8	you	-PRON-	PRP
10060	168	9	refine	refine	VB
10060	168	10	your	-PRON-	PRP$
10060	168	11	search	search	NN
10060	168	12	first	first	RB
10060	168	13	if	if	IN
10060	168	14	you	-PRON-	PRP
10060	168	15	type	type	VBP
10060	168	16	one	one	CD
10060	168	17	word	word	NN
10060	168	18	in	in	IN
10060	168	19	search	search	NN
10060	168	20	box	box	NN
10060	168	21	.	.	.
10060	169	1	However	however	RB
10060	169	2	,	,	,
10060	169	3	refining	refining	NN
10060	169	4	is	be	VBZ
10060	169	5	confusing	confusing	JJ
10060	169	6	by	by	IN
10060	169	7	parent	parent	NN
10060	169	8	class	class	NN
10060	169	9	and	and	CC
10060	169	10	children	child	NNS
10060	169	11	class	class	NN
10060	169	12	.	.	.
10060	170	1	Searching	search	VBG
10060	170	2	“	"	``
10060	170	3	diet	diet	NN
10060	170	4	”	"	''
10060	170	5	books	book	NNS
10060	170	6	as	as	IN
10060	170	7	an	an	DT
10060	170	8	example	example	NN
10060	170	9	,	,	,
10060	170	10	the	the	DT
10060	170	11	system	system	NN
10060	170	12	suggests	suggest	VBZ
10060	170	13	you	-PRON-	PRP
10060	170	14	refine	refine	VBP
10060	170	15	your	-PRON-	PRP$
10060	170	16	search	search	NN
10060	170	17	from	from	IN
10060	170	18	five	five	CD
10060	170	19	subcategories	subcategorie	NNS
10060	170	20	of	of	IN
10060	170	21	“	"	``
10060	170	22	Diet	Diet	NNP
10060	170	23	and	and	CC
10060	170	24	Nutrition	Nutrition	NNP
10060	170	25	”	"	''
10060	170	26	under	under	IN
10060	170	27	three	three	CD
10060	170	28	different	different	JJ
10060	170	29	parent	parent	NN
10060	170	30	classes	class	NNS
10060	170	31	.	.	.
10060	171	1	However	however	RB
10060	171	2	,	,	,
10060	171	3	the	the	DT
10060	171	4	modified	modify	VBN
10060	171	5	category	category	NN
10060	171	6	system	system	NN
10060	171	7	has	have	VBZ
10060	171	8	avoided	avoid	VBN
10060	171	9	the	the	DT
10060	171	10	duplicated	duplicated	JJ
10060	171	11	keywords	keyword	NNS
10060	171	12	.	.	.
10060	172	1	Furthermore	furthermore	RB
10060	172	2	,	,	,
10060	172	3	the	the	DT
10060	172	4	hierarchical	hierarchical	JJ
10060	172	5	system	system	NN
10060	172	6	based	base	VBN
10060	172	7	on	on	IN
10060	172	8	users	user	NNS
10060	172	9	’	’	POS
10060	172	10	comments	comment	NNS
10060	172	11	maintains	maintain	VBZ
10060	172	12	meaning	meaning	NN
10060	172	13	.	.	.
10060	173	1	Figure	figure	NN
10060	173	2	4	4	CD
10060	173	3	.	.	.
10060	174	1	Parts	part	NNS
10060	174	2	of	of	IN
10060	174	3	current	current	JJ
10060	174	4	category	category	NN
10060	174	5	system	system	NN
10060	174	6	in	in	IN
10060	174	7	“	"	``
10060	174	8	Cooking	Cooking	NNP
10060	174	9	and	and	CC
10060	174	10	Food	Food	NNP
10060	174	11	.	.	.
10060	174	12	”	"	''
10060	174	13	Indexing	indexing	NN
10060	174	14	Books	book	NNS
10060	174	15	We	-PRON-	PRP
10060	174	16	found	find	VBD
10060	174	17	that	that	IN
10060	174	18	the	the	DT
10060	174	19	list	list	NN
10060	174	20	of	of	IN
10060	174	21	keywords	keyword	NNS
10060	174	22	was	be	VBD
10060	174	23	confusing	confuse	VBG
10060	174	24	due	due	IN
10060	174	25	to	to	IN
10060	174	26	the	the	DT
10060	174	27	inefficiency	inefficiency	NN
10060	174	28	of	of	IN
10060	174	29	the	the	DT
10060	174	30	previous	previous	JJ
10060	174	31	category	category	NN
10060	174	32	system	system	NN
10060	174	33	.	.	.
10060	175	1	It	-PRON-	PRP
10060	175	2	is	be	VBZ
10060	175	3	necessary	necessary	JJ
10060	175	4	to	to	TO
10060	175	5	re	re	VB
10060	175	6	-	-	VB
10060	175	7	index	index	VB
10060	175	8	the	the	DT
10060	175	9	keywords	keyword	NNS
10060	175	10	of	of	IN
10060	175	11	each	each	DT
10060	175	12	book	book	NN
10060	175	13	based	base	VBN
10060	175	14	on	on	IN
10060	175	15	the	the	DT
10060	175	16	modified	modify	VBN
10060	175	17	category	category	NN
10060	175	18	system	system	NN
10060	175	19	.	.	.
10060	176	1	We	-PRON-	PRP
10060	176	2	stand	stand	VBP
10060	176	3	on	on	IN
10060	176	4	the	the	DT
10060	176	5	data	data	NN
10060	176	6	-	-	HYPH
10060	176	7	oriented	orient	VBN
10060	176	8	indexing	indexing	NN
10060	176	9	process	process	NN
10060	176	10	.	.	.
10060	177	1	The	the	DT
10060	177	2	method	method	NN
10060	177	3	to	to	TO
10060	177	4	detect	detect	VB
10060	177	5	the	the	DT
10060	177	6	core	core	JJ
10060	177	7	concepts	concept	NNS
10060	177	8	of	of	IN
10060	177	9	each	each	DT
10060	177	10	book	book	NN
10060	177	11	is	be	VBZ
10060	177	12	the	the	DT
10060	177	13	same	same	JJ
10060	177	14	as	as	IN
10060	177	15	that	that	DT
10060	177	16	for	for	IN
10060	177	17	all	all	DT
10060	177	18	books	book	NNS
10060	177	19	in	in	IN
10060	177	20	section	section	NN
10060	177	21	4.3	4.3	CD
10060	177	22	.	.	.
10060	178	1	Taking	take	VBG
10060	178	2	the	the	DT
10060	178	3	book	book	NN
10060	178	4	A	a	DT
10060	178	5	Modern	modern	JJ
10060	178	6	Way	way	NN
10060	178	7	to	to	TO
10060	178	8	Eat	eat	VB
10060	178	9	as	as	IN
10060	178	10	an	an	DT
10060	178	11	example	example	NN
10060	178	12	,	,	,
10060	178	13	triples	triple	NNS
10060	178	14	are	be	VBP
10060	178	15	extracted	extract	VBN
10060	178	16	from	from	IN
10060	178	17	the	the	DT
10060	178	18	book	book	NN
10060	178	19	,	,	,
10060	178	20	including	include	VBG
10060	178	21	“	"	``
10060	178	22	grain	grain	NN
10060	178	23	-	-	HYPH
10060	178	24	direct	direct	JJ
10060	178	25	part	part	NN
10060	178	26	whole	whole	RB
10060	178	27	-	-	HYPH
10060	178	28	ingredient	ingredient	JJ
10060	178	29	,	,	,
10060	178	30	”	"	''
10060	178	31	“	"	``
10060	178	32	nut	nut	NNP
10060	178	33	-	-	HYPH
10060	178	34	direct	direct	JJ
10060	178	35	part	part	NN
10060	178	36	whole	whole	RB
10060	178	37	-	-	HYPH
10060	178	38	ingredient	ingredient	JJ
10060	178	39	,	,	,
10060	178	40	”	"	''
10060	178	41	“	"	``
10060	178	42	vegetarian	vegetarian	NNP
10060	178	43	-	-	HYPH
10060	178	44	related	relate	VBN
10060	178	45	-	-	HYPH
10060	178	46	health	health	NN
10060	178	47	,	,	,
10060	178	48	”	"	''
10060	178	49	and	and	CC
10060	178	50	so	so	RB
10060	178	51	on	on	RB
10060	178	52	.	.	.
10060	179	1	Using	use	VBG
10060	179	2	all	all	DT
10060	179	3	triples	triple	NNS
10060	179	4	of	of	IN
10060	179	5	the	the	DT
10060	179	6	book	book	NN
10060	179	7	to	to	TO
10060	179	8	match	match	VB
10060	179	9	with	with	IN
10060	179	10	the	the	DT
10060	179	11	triples	triple	NNS
10060	179	12	set	set	VBN
10060	179	13	from	from	IN
10060	179	14	all	all	DT
10060	179	15	books	book	NNS
10060	179	16	in	in	IN
10060	179	17	section	section	NN
10060	179	18	4.3	4.3	CD
10060	179	19	,	,	,
10060	179	20	we	-PRON-	PRP
10060	179	21	index	index	VBP
10060	179	22	this	this	DT
10060	179	23	book	book	NN
10060	179	24	to	to	IN
10060	179	25	categories	category	NNS
10060	179	26	by	by	IN
10060	179	27	the	the	DT
10060	179	28	best	good	JJS
10060	179	29	match	match	NN
10060	179	30	parent	parent	NN
10060	179	31	class	class	NN
10060	179	32	.	.	.
10060	180	1	In	in	IN
10060	180	2	this	this	DT
10060	180	3	case	case	NN
10060	180	4	,	,	,
10060	180	5	5	5	CD
10060	180	6	out	out	IN
10060	180	7	of	of	IN
10060	180	8	9	9	CD
10060	180	9	triples	triple	NNS
10060	180	10	of	of	IN
10060	180	11	A	a	DT
10060	180	12	Modern	modern	JJ
10060	180	13	Way	way	NN
10060	180	14	to	to	TO
10060	180	15	Eat	eat	VB
10060	180	16	are	be	VBP
10060	180	17	matched	match	VBN
10060	180	18	with	with	IN
10060	180	19	the	the	DT
10060	180	20	parent	parent	NN
10060	180	21	class	class	NN
10060	180	22	“	"	``
10060	180	23	Ingredient	Ingredient	NNP
10060	180	24	.	.	.
10060	180	25	”	"	''
10060	180	26	Another	another	DT
10060	180	27	two	two	CD
10060	180	28	are	be	VBP
10060	180	29	matched	match	VBN
10060	180	30	with	with	IN
10060	180	31	“	"	``
10060	180	32	Natural	Natural	NNP
10060	180	33	”	"	''
10060	180	34	and	and	CC
10060	180	35	“	"	``
10060	180	36	Technique	technique	NN
10060	180	37	,	,	,
10060	180	38	”	"	''
10060	180	39	and	and	CC
10060	180	40	OF	of	IN
10060	180	41	THE	the	DT
10060	180	42	PEOPLE	PEOPLE	NNS
10060	180	43	,	,	,
10060	180	44	FOR	for	IN
10060	180	45	THE	the	DT
10060	180	46	PEOPLE	PEOPLE	NNPS
10060	180	47	|	|	NNP
10060	180	48	LOU	LOU	NNP
10060	180	49	,	,	,
10060	180	50	WANG	WANG	NNP
10060	180	51	,	,	,
10060	180	52	AND	and	CC
10060	180	53	HE	he	PRP
10060	180	54	75	75	CD
10060	180	55	https://doi.org/10.6017/ital.v37i3.10060	https://doi.org/10.6017/ital.v37i3.10060	NN
10060	180	56	the	the	DT
10060	180	57	other	other	JJ
10060	180	58	two	two	CD
10060	180	59	can	can	MD
10060	180	60	not	not	RB
10060	180	61	correctly	correctly	RB
10060	180	62	match	match	VB
10060	180	63	with	with	IN
10060	180	64	the	the	DT
10060	180	65	triples	triple	NNS
10060	180	66	set	set	VBN
10060	180	67	.	.	.
10060	181	1	Then	then	RB
10060	181	2	,	,	,
10060	181	3	A	a	DT
10060	181	4	Modern	modern	JJ
10060	181	5	Way	way	NN
10060	181	6	to	to	TO
10060	181	7	Eat	eat	VB
10060	181	8	will	will	MD
10060	181	9	be	be	VB
10060	181	10	indexed	index	VBN
10060	181	11	with	with	IN
10060	181	12	“	"	``
10060	181	13	Cooking	Cooking	NNP
10060	181	14	and	and	CC
10060	181	15	Food	Food	NNP
10060	181	16	-	-	HYPH
10060	181	17	Ingredient	Ingredient	NNP
10060	181	18	,	,	,
10060	181	19	”	"	''
10060	181	20	“	"	``
10060	181	21	Cooking	Cooking	NNP
10060	181	22	and	and	CC
10060	181	23	Food	Food	NNP
10060	181	24	-	-	HYPH
10060	181	25	Natural	Natural	NNP
10060	181	26	,	,	,
10060	181	27	”	"	''
10060	181	28	and	and	CC
10060	181	29	“	"	``
10060	181	30	Cooking	Cooking	NNP
10060	181	31	and	and	CC
10060	181	32	Food	Food	NNP
10060	181	33	-	-	HYPH
10060	181	34	Technique	Technique	NNP
10060	181	35	.	.	.
10060	181	36	”	"	''
10060	181	37	4.5	4.5	CD
10060	181	38	Semantic	semantic	JJ
10060	181	39	-	-	HYPH
10060	181	40	Resource	resource	NN
10060	181	41	Construction	construction	NN
10060	181	42	The	the	DT
10060	181	43	semantic	semantic	JJ
10060	181	44	resource	resource	NN
10060	181	45	is	be	VBZ
10060	181	46	constructed	construct	VBN
10060	181	47	based	base	VBN
10060	181	48	on	on	IN
10060	181	49	structural	structural	JJ
10060	181	50	data	datum	NNS
10060	181	51	that	that	WDT
10060	181	52	was	be	VBD
10060	181	53	prepared	prepare	VBN
10060	181	54	at	at	IN
10060	181	55	the	the	DT
10060	181	56	beginning	beginning	NN
10060	181	57	.	.	.
10060	182	1	The	the	DT
10060	182	2	informetrics	informetric	NNS
10060	182	3	method	method	NN
10060	182	4	(	(	-LRB-
10060	182	5	specifically	specifically	RB
10060	182	6	co	co	JJ
10060	182	7	-	-	JJ
10060	182	8	word	word	JJ
10060	182	9	analysis	analysis	NN
10060	182	10	)	)	-RRB-
10060	182	11	will	will	MD
10060	182	12	be	be	VB
10060	182	13	used	use	VBN
10060	182	14	to	to	TO
10060	182	15	extract	extract	VB
10060	182	16	the	the	DT
10060	182	17	precise	precise	JJ
10060	182	18	relationship	relationship	NN
10060	182	19	among	among	IN
10060	182	20	the	the	DT
10060	182	21	bibliography	bibliography	NN
10060	182	22	of	of	IN
10060	182	23	books	book	NNS
10060	182	24	,	,	,
10060	182	25	as	as	IN
10060	182	26	we	-PRON-	PRP
10060	182	27	previously	previously	RB
10060	182	28	proposed.29	proposed.29	VBP
10060	182	29	We	-PRON-	PRP
10060	182	30	construct	construct	VBP
10060	182	31	all	all	DT
10060	182	32	structural	structural	JJ
10060	182	33	data	datum	NNS
10060	182	34	together	together	RB
10060	182	35	and	and	CC
10060	182	36	conduct	conduct	VB
10060	182	37	co	co	NNS
10060	182	38	-	-	NNS
10060	182	39	words	word	NNS
10060	182	40	matrixes	matrix	NNS
10060	182	41	between	between	IN
10060	182	42	each	each	DT
10060	182	43	title	title	NN
10060	182	44	,	,	,
10060	182	45	publisher	publisher	NN
10060	182	46	,	,	,
10060	182	47	date	date	NN
10060	182	48	,	,	,
10060	182	49	author	author	NN
10060	182	50	,	,	,
10060	182	51	and	and	CC
10060	182	52	keyword	keyword	NNP
10060	182	53	.	.	.
10060	183	1	For	for	IN
10060	183	2	example	example	NN
10060	183	3	,	,	,
10060	183	4	the	the	DT
10060	183	5	author	author	NN
10060	183	6	“	"	``
10060	183	7	Anna	Anna	NNP
10060	183	8	Jones	Jones	NNP
10060	183	9	”	"	''
10060	183	10	co	co	NN
10060	183	11	-	-	NN
10060	183	12	occurred	occur	VBD
10060	183	13	with	with	IN
10060	183	14	many	many	JJ
10060	183	15	keywords	keyword	NNS
10060	183	16	to	to	IN
10060	183	17	varying	vary	VBG
10060	183	18	degrees	degree	NNS
10060	183	19	.	.	.
10060	184	1	The	the	DT
10060	184	2	author	author	NN
10060	184	3	co	co	VBD
10060	184	4	-	-	VBN
10060	184	5	occurred	occur	VBD
10060	184	6	with	with	IN
10060	184	7	the	the	DT
10060	184	8	keyword	keyword	NN
10060	184	9	“	"	``
10060	184	10	Natural	Natural	NNP
10060	184	11	”	"	''
10060	184	12	four	four	CD
10060	184	13	times	time	NNS
10060	184	14	and	and	CC
10060	184	15	“	"	``
10060	184	16	Person	person	NN
10060	184	17	”	"	''
10060	184	18	seven	seven	CD
10060	184	19	times	time	NNS
10060	184	20	.	.	.
10060	185	1	According	accord	VBG
10060	185	2	to	to	IN
10060	185	3	Qiu	Qiu	NNP
10060	185	4	and	and	CC
10060	185	5	Lou	Lou	NNP
10060	185	6	,	,	,
10060	185	7	the	the	DT
10060	185	8	precise	precise	JJ
10060	185	9	relationship	relationship	NN
10060	185	10	needs	need	VBZ
10060	185	11	to	to	TO
10060	185	12	be	be	VB
10060	185	13	divided	divide	VBN
10060	185	14	by	by	IN
10060	185	15	the	the	DT
10060	185	16	threshold	threshold	NN
10060	185	17	and	and	CC
10060	185	18	formatted	format	VBD
10060	185	19	as	as	IN
10060	185	20	literal	literal	JJ
10060	185	21	words.30	words.30	NNP
10060	185	22	Therefore	therefore	RB
10060	185	23	,	,	,
10060	185	24	among	among	IN
10060	185	25	the	the	DT
10060	185	26	degree	degree	NN
10060	185	27	of	of	IN
10060	185	28	all	all	DT
10060	185	29	relationships	relationship	NNS
10060	185	30	between	between	IN
10060	185	31	“	"	``
10060	185	32	Anna	Anna	NNP
10060	185	33	Jones	Jones	NNP
10060	185	34	”	"	''
10060	185	35	and	and	CC
10060	185	36	other	other	JJ
10060	185	37	keywords	keyword	NNS
10060	185	38	,	,	,
10060	185	39	the	the	DT
10060	185	40	relationship	relationship	NN
10060	185	41	between	between	IN
10060	185	42	“	"	``
10060	185	43	Anna	Anna	NNP
10060	185	44	Jones	Jones	NNP
10060	185	45	”	"	''
10060	185	46	and	and	CC
10060	185	47	“	"	``
10060	185	48	Natural	natural	JJ
10060	185	49	”	"	''
10060	185	50	is	be	VBZ
10060	185	51	highly	highly	RB
10060	185	52	correlated	correlate	VBN
10060	185	53	,	,	,
10060	185	54	and	and	CC
10060	185	55	the	the	DT
10060	185	56	relationship	relationship	NN
10060	185	57	between	between	IN
10060	185	58	“	"	``
10060	185	59	Anna	Anna	NNP
10060	185	60	Jones	Jones	NNP
10060	185	61	”	"	''
10060	185	62	and	and	CC
10060	185	63	“	"	``
10060	185	64	Person	person	NN
10060	185	65	”	"	''
10060	185	66	is	be	VBZ
10060	185	67	extremely	extremely	RB
10060	185	68	correlated	correlate	VBN
10060	185	69	.	.	.
10060	186	1	Triples	triple	NNS
10060	186	2	are	be	VBP
10060	186	3	composed	compose	VBN
10060	186	4	of	of	IN
10060	186	5	two	two	CD
10060	186	6	concepts	concept	NNS
10060	186	7	and	and	CC
10060	186	8	their	-PRON-	PRP$
10060	186	9	relationships	relationship	NNS
10060	186	10	.	.	.
10060	187	1	Then	then	RB
10060	187	2	a	a	DT
10060	187	3	semantic	semantic	JJ
10060	187	4	resource	resource	NN
10060	187	5	is	be	VBZ
10060	187	6	finally	finally	RB
10060	187	7	constructed	construct	VBN
10060	187	8	that	that	WDT
10060	187	9	could	could	MD
10060	187	10	be	be	VB
10060	187	11	used	use	VBN
10060	187	12	for	for	IN
10060	187	13	knowledge	knowledge	NN
10060	187	14	retrieval	retrieval	NN
10060	187	15	.	.	.
10060	188	1	Figure	figure	NN
10060	188	2	5	5	CD
10060	188	3	.	.	.
10060	189	1	An	an	DT
10060	189	2	example	example	NN
10060	189	3	of	of	IN
10060	189	4	the	the	DT
10060	189	5	knowledge	knowledge	NN
10060	189	6	network	network	NN
10060	189	7	.	.	.
10060	190	1	Once	once	IN
10060	190	2	the	the	DT
10060	190	3	semantic	semantic	JJ
10060	190	4	resource	resource	NN
10060	190	5	is	be	VBZ
10060	190	6	ready	ready	JJ
10060	190	7	,	,	,
10060	190	8	the	the	DT
10060	190	9	knowledge	knowledge	NN
10060	190	10	network	network	NN
10060	190	11	is	be	VBZ
10060	190	12	presentable	presentable	JJ
10060	190	13	.	.	.
10060	191	1	We	-PRON-	PRP
10060	191	2	adopted	adopt	VBD
10060	191	3	D3.js	D3.js	NNP
10060	191	4	to	to	TO
10060	191	5	display	display	VB
10060	191	6	the	the	DT
10060	191	7	knowledge	knowledge	NN
10060	191	8	network	network	NN
10060	191	9	(	(	-LRB-
10060	191	10	figure	figure	NNP
10060	191	11	5	5	CD
10060	191	12	)	)	-RRB-
10060	191	13	.	.	.
10060	192	1	The	the	DT
10060	192	2	net	net	JJ
10060	192	3	view	view	NN
10060	192	4	automatically	automatically	RB
10060	192	5	exhibits	exhibit	VBZ
10060	192	6	several	several	JJ
10060	192	7	books	book	NNS
10060	192	8	related	relate	VBN
10060	192	9	with	with	IN
10060	192	10	an	an	DT
10060	192	11	author	author	NN
10060	192	12	William	William	NNP
10060	192	13	Davis	Davis	NNP
10060	192	14	,	,	,
10060	192	15	which	which	WDT
10060	192	16	is	be	VBZ
10060	192	17	placed	place	VBN
10060	192	18	in	in	IN
10060	192	19	a	a	DT
10060	192	20	conspicuous	conspicuous	JJ
10060	192	21	position	position	NN
10060	192	22	on	on	IN
10060	192	23	the	the	DT
10060	192	24	screen	screen	NN
10060	192	25	.	.	.
10060	193	1	The	the	DT
10060	193	2	forced	force	VBN
10060	193	3	map	map	NN
10060	193	4	can	can	MD
10060	193	5	be	be	VB
10060	193	6	reformed	reform	VBN
10060	193	7	when	when	WRB
10060	193	8	users	user	NNS
10060	193	9	drag	drag	VBP
10060	193	10	any	any	DT
10060	193	11	book	book	NN
10060	193	12	with	with	IN
10060	193	13	the	the	DT
10060	193	14	mouse	mouse	NN
10060	193	15	,	,	,
10060	193	16	which	which	WDT
10060	193	17	will	will	MD
10060	193	18	be	be	VB
10060	193	19	the	the	DT
10060	193	20	noticeable	noticeable	JJ
10060	193	21	center	center	NN
10060	193	22	of	of	IN
10060	193	23	other	other	JJ
10060	193	24	books	book	NNS
10060	193	25	.	.	.
10060	194	1	The	the	DT
10060	194	2	network	network	NN
10060	194	3	can	can	MD
10060	194	4	connect	connect	VB
10060	194	5	with	with	IN
10060	194	6	the	the	DT
10060	194	7	database	database	NN
10060	194	8	and	and	CC
10060	194	9	the	the	DT
10060	194	10	website	website	NN
10060	194	11	.	.	.
10060	195	1	INFORMATION	INFORMATION	NNP
10060	195	2	TECHNOLOGY	TECHNOLOGY	NNP
10060	195	3	AND	and	CC
10060	195	4	LIBRARIES	library	NNS
10060	195	5	|	|	NNP
10060	195	6	SEPTEMBER	SEPTEMBER	NNP
10060	195	7	2018	2018	CD
10060	195	8	76	76	CD
10060	195	9	5	5	CD
10060	195	10	.	.	.
10060	196	1	USER	USER	NNP
10060	196	2	-	-	HYPH
10060	196	3	EXPERIENCE	experience	NN
10060	196	4	STUDY	STUDY	NNP
10060	196	5	ON	on	IN
10060	196	6	KNOWLEDGE	knowledge	NN
10060	196	7	DISPLAY	DISPLAY	NNS
10060	196	8	AND	and	CC
10060	196	9	RECOMMENDATION	recommendation	NN
10060	196	10	There	there	EX
10060	196	11	are	be	VBP
10060	196	12	two	two	CD
10060	196	13	common	common	JJ
10060	196	14	ways	way	NNS
10060	196	15	to	to	TO
10060	196	16	evaluate	evaluate	VB
10060	196	17	a	a	DT
10060	196	18	retrieval	retrieval	NN
10060	196	19	system	system	NN
10060	196	20	.	.	.
10060	197	1	One	one	CD
10060	197	2	is	be	VBZ
10060	197	3	to	to	TO
10060	197	4	test	test	VB
10060	197	5	the	the	DT
10060	197	6	statistic	statistic	NN
10060	197	7	results	result	NNS
10060	197	8	,	,	,
10060	197	9	such	such	JJ
10060	197	10	as	as	IN
10060	197	11	the	the	DT
10060	197	12	recall	recall	NN
10060	197	13	and	and	CC
10060	197	14	precision	precision	NN
10060	197	15	.	.	.
10060	198	1	The	the	DT
10060	198	2	other	other	JJ
10060	198	3	is	be	VBZ
10060	198	4	a	a	DT
10060	198	5	user	user	NN
10060	198	6	study	study	NN
10060	198	7	.	.	.
10060	199	1	Since	since	IN
10060	199	2	our	-PRON-	PRP$
10060	199	3	aim	aim	NN
10060	199	4	is	be	VBZ
10060	199	5	“	"	``
10060	199	6	of	of	IN
10060	199	7	the	the	DT
10060	199	8	people	people	NNS
10060	199	9	,	,	,
10060	199	10	for	for	IN
10060	199	11	the	the	DT
10060	199	12	people	people	NNS
10060	199	13	,	,	,
10060	199	14	”	"	''
10060	199	15	we	-PRON-	PRP
10060	199	16	chose	choose	VBD
10060	199	17	to	to	TO
10060	199	18	conduct	conduct	VB
10060	199	19	two	two	CD
10060	199	20	user	user	NN
10060	199	21	-	-	HYPH
10060	199	22	experience	experience	NN
10060	199	23	studies	study	NNS
10060	199	24	over	over	IN
10060	199	25	the	the	DT
10060	199	26	statistical	statistical	JJ
10060	199	27	results	result	NNS
10060	199	28	.	.	.
10060	200	1	As	as	IN
10060	200	2	such	such	JJ
10060	200	3	,	,	,
10060	200	4	we	-PRON-	PRP
10060	200	5	can	can	MD
10060	200	6	obtain	obtain	VB
10060	200	7	what	what	WP
10060	200	8	users	user	NNS
10060	200	9	suggest	suggest	VBP
10060	200	10	and	and	CC
10060	200	11	comment	comment	VBP
10060	200	12	on	on	IN
10060	200	13	our	-PRON-	PRP$
10060	200	14	approach	approach	NN
10060	200	15	.	.	.
10060	201	1	User	User	NNP
10060	201	2	-	-	HYPH
10060	201	3	Experience	Experience	NNP
10060	201	4	Study	Study	NNP
10060	201	5	Design	Design	NNP
10060	201	6	In	in	IN
10060	201	7	February	February	NNP
10060	201	8	2016	2016	CD
10060	201	9	,	,	,
10060	201	10	with	with	IN
10060	201	11	the	the	DT
10060	201	12	help	help	NN
10060	201	13	of	of	IN
10060	201	14	friends	friend	NNS
10060	201	15	,	,	,
10060	201	16	we	-PRON-	PRP
10060	201	17	recruited	recruit	VBD
10060	201	18	volunteers	volunteer	NNS
10060	201	19	by	by	IN
10060	201	20	posting	post	VBG
10060	201	21	fliers	flier	NNS
10060	201	22	in	in	IN
10060	201	23	Portland	Portland	NNP
10060	201	24	,	,	,
10060	201	25	Oregon	Oregon	NNP
10060	201	26	.	.	.
10060	202	1	fifty	fifty	CD
10060	202	2	volunteers	volunteer	NNS
10060	202	3	contacted	contact	VBD
10060	202	4	us	-PRON-	PRP
10060	202	5	.	.	.
10060	203	1	Thirty	thirty	CD
10060	203	2	-	-	HYPH
10060	203	3	nine	nine	CD
10060	203	4	responses	response	NNS
10060	203	5	were	be	VBD
10060	203	6	received	receive	VBN
10060	203	7	by	by	IN
10060	203	8	the	the	DT
10060	203	9	end	end	NN
10060	203	10	of	of	IN
10060	203	11	March	March	NNP
10060	203	12	2016	2016	CD
10060	203	13	because	because	IN
10060	203	14	the	the	DT
10060	203	15	other	other	JJ
10060	203	16	eleven	eleven	CD
10060	203	17	volunteers	volunteer	NNS
10060	203	18	were	be	VBD
10060	203	19	not	not	RB
10060	203	20	able	able	JJ
10060	203	21	to	to	TO
10060	203	22	enroll	enroll	VB
10060	203	23	in	in	IN
10060	203	24	the	the	DT
10060	203	25	electronic	electronic	JJ
10060	203	26	test	test	NN
10060	203	27	.	.	.
10060	204	1	Since	since	IN
10060	204	2	we	-PRON-	PRP
10060	204	3	needed	need	VBD
10060	204	4	to	to	TO
10060	204	5	test	test	VB
10060	204	6	the	the	DT
10060	204	7	feasibility	feasibility	NN
10060	204	8	of	of	IN
10060	204	9	both	both	CC
10060	204	10	the	the	DT
10060	204	11	new	new	JJ
10060	204	12	indexing	indexing	NN
10060	204	13	category	category	NN
10060	204	14	and	and	CC
10060	204	15	the	the	DT
10060	204	16	knowledge	knowledge	NN
10060	204	17	recommendation	recommendation	NN
10060	204	18	,	,	,
10060	204	19	we	-PRON-	PRP
10060	204	20	set	set	VBD
10060	204	21	up	up	RP
10060	204	22	the	the	DT
10060	204	23	user	user	NN
10060	204	24	study	study	NN
10060	204	25	into	into	IN
10060	204	26	two	two	CD
10060	204	27	parts	part	NNS
10060	204	28	,	,	,
10060	204	29	including	include	VBG
10060	204	30	the	the	DT
10060	204	31	comparison	comparison	NN
10060	204	32	of	of	IN
10060	204	33	the	the	DT
10060	204	34	simple	simple	JJ
10060	204	35	retrieval	retrieval	NN
10060	204	36	and	and	CC
10060	204	37	the	the	DT
10060	204	38	knowledge	knowledge	NN
10060	204	39	recommendation	recommendation	NN
10060	204	40	.	.	.
10060	205	1	First	first	RB
10060	205	2	,	,	,
10060	205	3	we	-PRON-	PRP
10060	205	4	requested	request	VBD
10060	205	5	permission	permission	NN
10060	205	6	to	to	TO
10060	205	7	use	use	VB
10060	205	8	the	the	DT
10060	205	9	data	data	NN
10060	205	10	source	source	NN
10060	205	11	and	and	CC
10060	205	12	website	website	NN
10060	205	13	frame	frame	NN
10060	205	14	from	from	IN
10060	205	15	Book	Book	NNP
10060	205	16	City	City	NNP
10060	205	17	.	.	.
10060	206	1	However	however	RB
10060	206	2	,	,	,
10060	206	3	we	-PRON-	PRP
10060	206	4	can	can	MD
10060	206	5	not	not	RB
10060	206	6	construct	construct	VB
10060	206	7	a	a	DT
10060	206	8	new	new	JJ
10060	206	9	website	website	NN
10060	206	10	for	for	IN
10060	206	11	Book	Book	NNP
10060	206	12	City	City	NNP
10060	206	13	due	due	IN
10060	206	14	to	to	IN
10060	206	15	intellectual	intellectual	JJ
10060	206	16	-	-	HYPH
10060	206	17	property	property	NN
10060	206	18	issues	issue	NNS
10060	206	19	.	.	.
10060	207	1	Therefore	therefore	RB
10060	207	2	,	,	,
10060	207	3	we	-PRON-	PRP
10060	207	4	constructed	construct	VBD
10060	207	5	a	a	DT
10060	207	6	practical	practical	JJ
10060	207	7	mock	mock	NN
10060	207	8	-	-	HYPH
10060	207	9	up	up	NN
10060	207	10	to	to	TO
10060	207	11	guide	guide	VB
10060	207	12	users	user	NNS
10060	207	13	to	to	TO
10060	207	14	simulate	simulate	VB
10060	207	15	a	a	DT
10060	207	16	retrieval	retrieval	NN
10060	207	17	experiment	experiment	NN
10060	207	18	.	.	.
10060	208	1	Following	follow	VBG
10060	208	2	the	the	DT
10060	208	3	procedure	procedure	NN
10060	208	4	of	of	IN
10060	208	5	the	the	DT
10060	208	6	user	user	NN
10060	208	7	experience	experience	NN
10060	208	8	design	design	NN
10060	208	9	,	,	,
10060	208	10	we	-PRON-	PRP
10060	208	11	chose	choose	VBD
10060	208	12	MockingBot	MockingBot	NNP
10060	208	13	(	(	-LRB-
10060	208	14	https://mockingbot.com	https://mockingbot.com	ADD
10060	208	15	)	)	-RRB-
10060	208	16	as	as	IN
10060	208	17	the	the	DT
10060	208	18	mock	mock	NN
10060	208	19	-	-	HYPH
10060	208	20	up	up	RP
10060	208	21	builder	builder	NN
10060	208	22	.	.	.
10060	209	1	MockingBot	MockingBot	NNP
10060	209	2	allows	allow	VBZ
10060	209	3	the	the	DT
10060	209	4	demo	demo	NN
10060	209	5	users	user	NNS
10060	209	6	to	to	TO
10060	209	7	experience	experience	VB
10060	209	8	a	a	DT
10060	209	9	vivid	vivid	JJ
10060	209	10	system	system	NN
10060	209	11	that	that	WDT
10060	209	12	will	will	MD
10060	209	13	be	be	VB
10060	209	14	developed	develop	VBN
10060	209	15	later	later	RB
10060	209	16	.	.	.
10060	210	1	The	the	DT
10060	210	2	mock	mock	NN
10060	210	3	-	-	HYPH
10060	210	4	up	up	RP
10060	210	5	supports	support	VBZ
10060	210	6	every	every	DT
10060	210	7	tag	tag	NN
10060	210	8	that	that	WDT
10060	210	9	can	can	MD
10060	210	10	be	be	VB
10060	210	11	linked	link	VBN
10060	210	12	with	with	IN
10060	210	13	other	other	JJ
10060	210	14	pages	page	NNS
10060	210	15	so	so	IN
10060	210	16	that	that	IN
10060	210	17	subjects	subject	NNS
10060	210	18	could	could	MD
10060	210	19	click	click	VB
10060	210	20	on	on	IN
10060	210	21	the	the	DT
10060	210	22	mock	mock	NN
10060	210	23	-	-	HYPH
10060	210	24	up	up	NN
10060	210	25	just	just	RB
10060	210	26	as	as	IN
10060	210	27	they	-PRON-	PRP
10060	210	28	would	would	MD
10060	210	29	on	on	IN
10060	210	30	a	a	DT
10060	210	31	real	real	JJ
10060	210	32	website	website	NN
10060	210	33	.	.	.
10060	211	1	The	the	DT
10060	211	2	demo	demo	NN
10060	211	3	is	be	VBZ
10060	211	4	expected	expect	VBN
10060	211	5	to	to	TO
10060	211	6	help	help	VB
10060	211	7	us	-PRON-	PRP
10060	211	8	(	(	-LRB-
10060	211	9	1	1	LS
10060	211	10	)	)	-RRB-
10060	211	11	examine	examine	VB
10060	211	12	whether	whether	IN
10060	211	13	our	-PRON-	PRP$
10060	211	14	changes	change	NNS
10060	211	15	would	would	MD
10060	211	16	meet	meet	VB
10060	211	17	the	the	DT
10060	211	18	users	user	NNS
10060	211	19	’	’	POS
10060	211	20	satisfaction	satisfaction	NN
10060	211	21	and	and	CC
10060	211	22	(	(	-LRB-
10060	211	23	2	2	LS
10060	211	24	)	)	-RRB-
10060	211	25	gather	gather	VB
10060	211	26	information	information	NN
10060	211	27	for	for	IN
10060	211	28	a	a	DT
10060	211	29	better	well	JJR
10060	211	30	design	design	NN
10060	211	31	.	.	.
10060	212	1	Then	then	RB
10060	212	2	we	-PRON-	PRP
10060	212	3	performed	perform	VBD
10060	212	4	face	face	NN
10060	212	5	-	-	HYPH
10060	212	6	to	to	IN
10060	212	7	-	-	HYPH
10060	212	8	face	face	NN
10060	212	9	,	,	,
10060	212	10	user-	user-	NNP
10060	212	11	guided	guide	VBN
10060	212	12	interviews	interview	NNS
10060	212	13	to	to	TO
10060	212	14	first	first	RB
10060	212	15	gain	gain	VB
10060	212	16	experience	experience	NN
10060	212	17	on	on	IN
10060	212	18	the	the	DT
10060	212	19	previous	previous	JJ
10060	212	20	retrieval	retrieval	NN
10060	212	21	system	system	NN
10060	212	22	and	and	CC
10060	212	23	then	then	RB
10060	212	24	compare	compare	VB
10060	212	25	them	-PRON-	PRP
10060	212	26	with	with	IN
10060	212	27	our	-PRON-	PRP$
10060	212	28	results	result	NNS
10060	212	29	.	.	.
10060	213	1	We	-PRON-	PRP
10060	213	2	concurrently	concurrently	RB
10060	213	3	recorded	record	VBD
10060	213	4	the	the	DT
10060	213	5	answers	answer	NNS
10060	213	6	and	and	CC
10060	213	7	scores	score	NNS
10060	213	8	of	of	IN
10060	213	9	users	user	NNS
10060	213	10	’	’	POS
10060	213	11	feedback	feedback	NN
10060	213	12	.	.	.
10060	214	1	In	in	IN
10060	214	2	the	the	DT
10060	214	3	following	following	JJ
10060	214	4	sections	section	NNS
10060	214	5	,	,	,
10060	214	6	we	-PRON-	PRP
10060	214	7	will	will	MD
10060	214	8	describe	describe	VB
10060	214	9	the	the	DT
10060	214	10	interview	interview	NN
10060	214	11	process	process	NN
10060	214	12	and	and	CC
10060	214	13	present	present	VB
10060	214	14	the	the	DT
10060	214	15	feedback	feedback	NN
10060	214	16	results	result	NNS
10060	214	17	.	.	.
10060	215	1	Study	study	NN
10060	215	2	1	1	CD
10060	215	3	:	:	:
10060	215	4	Comparison	comparison	NN
10060	215	5	of	of	IN
10060	215	6	Simple	Simple	NNP
10060	215	7	Retrieval	Retrieval	NNP
10060	215	8	First	First	NNP
10060	215	9	,	,	,
10060	215	10	subjects	subject	NNS
10060	215	11	were	be	VBD
10060	215	12	asked	ask	VBN
10060	215	13	to	to	TO
10060	215	14	search	search	VB
10060	215	15	related	related	JJ
10060	215	16	books	book	NNS
10060	215	17	written	write	VBN
10060	215	18	by	by	IN
10060	215	19	“	"	``
10060	215	20	Michael	Michael	NNP
10060	215	21	Pollan	Pollan	NNP
10060	215	22	”	"	''
10060	215	23	at	at	IN
10060	215	24	Powells.com	Powells.com	NNP
10060	215	25	(	(	-LRB-
10060	215	26	figure	figure	NNP
10060	215	27	6	6	CD
10060	215	28	)	)	-RRB-
10060	215	29	.	.	.
10060	216	1	As	as	IN
10060	216	2	such	such	JJ
10060	216	3	,	,	,
10060	216	4	all	all	DT
10060	216	5	subjects	subject	NNS
10060	216	6	used	use	VBD
10060	216	7	the	the	DT
10060	216	8	search	search	NN
10060	216	9	box	box	NN
10060	216	10	based	base	VBN
10060	216	11	on	on	IN
10060	216	12	their	-PRON-	PRP$
10060	216	13	instincts	instinct	NNS
10060	216	14	.	.	.
10060	217	1	Then	then	RB
10060	217	2	they	-PRON-	PRP
10060	217	3	were	be	VBD
10060	217	4	asked	ask	VBN
10060	217	5	to	to	TO
10060	217	6	find	find	VB
10060	217	7	a	a	DT
10060	217	8	new	new	JJ
10060	217	9	hardcover	hardcover	NN
10060	217	10	copy	copy	NN
10060	217	11	of	of	IN
10060	217	12	a	a	DT
10060	217	13	book	book	NN
10060	217	14	named	name	VBN
10060	217	15	Cooked	cook	VBN
10060	217	16	:	:	:
10060	217	17	A	a	DT
10060	217	18	Natural	natural	JJ
10060	217	19	History	history	NN
10060	217	20	of	of	IN
10060	217	21	Transformation	Transformation	NNP
10060	217	22	.	.	.
10060	218	1	We	-PRON-	PRP
10060	218	2	paid	pay	VBD
10060	218	3	attention	attention	NN
10060	218	4	to	to	IN
10060	218	5	the	the	DT
10060	218	6	ways	way	NNS
10060	218	7	that	that	WDT
10060	218	8	subjects	subject	NNS
10060	218	9	located	locate	VBD
10060	218	10	the	the	DT
10060	218	11	target	target	NN
10060	218	12	.	.	.
10060	219	1	Only	only	RB
10060	219	2	five	five	CD
10060	219	3	of	of	IN
10060	219	4	them	-PRON-	PRP
10060	219	5	used	use	VBD
10060	219	6	keyboard	keyboard	NN
10060	219	7	shortcuts	shortcut	NNS
10060	219	8	to	to	TO
10060	219	9	find	find	VB
10060	219	10	the	the	DT
10060	219	11	target	target	NN
10060	219	12	.	.	.
10060	220	1	However	however	RB
10060	220	2	,	,	,
10060	220	3	thirteen	thirteen	CD
10060	220	4	subjects	subject	NNS
10060	220	5	stated	state	VBD
10060	220	6	their	-PRON-	PRP$
10060	220	7	concerns	concern	NNS
10060	220	8	regarding	regard	VBG
10060	220	9	the	the	DT
10060	220	10	absence	absence	NN
10060	220	11	of	of	IN
10060	220	12	refinement	refinement	JJ
10060	220	13	options	option	NNS
10060	220	14	.	.	.
10060	221	1	Furthermore	furthermore	RB
10060	221	2	,	,	,
10060	221	3	we	-PRON-	PRP
10060	221	4	noticed	notice	VBD
10060	221	5	that	that	IN
10060	221	6	six	six	CD
10060	221	7	subjects	subject	NNS
10060	221	8	swept	sweep	VBN
10060	221	9	(	(	-LRB-
10060	221	10	moused	mouse	VBN
10060	221	11	over	over	RP
10060	221	12	)	)	-RRB-
10060	221	13	the	the	DT
10060	221	14	refinement	refinement	JJ
10060	221	15	area	area	NN
10060	221	16	and	and	CC
10060	221	17	then	then	RB
10060	221	18	decided	decide	VBD
10060	221	19	to	to	TO
10060	221	20	continue	continue	VB
10060	221	21	eye	eye	NN
10060	221	22	screening	screening	NN
10060	221	23	.	.	.
10060	222	1	In	in	IN
10060	222	2	the	the	DT
10060	222	3	meantime	meantime	NN
10060	222	4	,	,	,
10060	222	5	we	-PRON-	PRP
10060	222	6	recorded	record	VBD
10060	222	7	the	the	DT
10060	222	8	time	time	NN
10060	222	9	they	-PRON-	PRP
10060	222	10	spent	spend	VBD
10060	222	11	looking	look	VBG
10060	222	12	for	for	IN
10060	222	13	the	the	DT
10060	222	14	item	item	NN
10060	222	15	.	.	.
10060	223	1	After	after	IN
10060	223	2	they	-PRON-	PRP
10060	223	3	found	find	VBD
10060	223	4	the	the	DT
10060	223	5	target	target	NN
10060	223	6	,	,	,
10060	223	7	all	all	DT
10060	223	8	subjects	subject	NNS
10060	223	9	gave	give	VBD
10060	223	10	us	-PRON-	PRP
10060	223	11	a	a	DT
10060	223	12	score	score	NN
10060	223	13	from	from	IN
10060	223	14	one	one	CD
10060	223	15	to	to	IN
10060	223	16	ten	ten	CD
10060	223	17	that	that	WDT
10060	223	18	represented	represent	VBD
10060	223	19	their	-PRON-	PRP$
10060	223	20	satisfaction	satisfaction	NN
10060	223	21	with	with	IN
10060	223	22	the	the	DT
10060	223	23	current	current	JJ
10060	223	24	retrieval	retrieval	NN
10060	223	25	system	system	NN
10060	223	26	.	.	.
10060	224	1	OF	of	IN
10060	224	2	THE	the	DT
10060	224	3	PEOPLE	PEOPLE	NNS
10060	224	4	,	,	,
10060	224	5	FOR	for	IN
10060	224	6	THE	the	DT
10060	224	7	PEOPLE	PEOPLE	NNPS
10060	224	8	|	|	NNP
10060	224	9	LOU	LOU	NNP
10060	224	10	,	,	,
10060	224	11	WANG	WANG	NNP
10060	224	12	,	,	,
10060	224	13	AND	and	CC
10060	224	14	HE	he	PRP
10060	224	15	77	77	CD
10060	224	16	https://doi.org/10.6017/ital.v37i3.10060	https://doi.org/10.6017/ital.v37i3.10060	NN
10060	224	17	Figure	Figure	NNP
10060	224	18	6	6	CD
10060	224	19	.	.	.
10060	225	1	Screenshot	screenshot	NN
10060	225	2	of	of	IN
10060	225	3	retrieval	retrieval	NN
10060	225	4	results	result	NNS
10060	225	5	in	in	IN
10060	225	6	the	the	DT
10060	225	7	current	current	JJ
10060	225	8	system	system	NN
10060	225	9	.	.	.
10060	226	1	In	in	IN
10060	226	2	the	the	DT
10060	226	3	comparison	comparison	NN
10060	226	4	experiment	experiment	NN
10060	226	5	,	,	,
10060	226	6	we	-PRON-	PRP
10060	226	7	placed	place	VBD
10060	226	8	our	-PRON-	PRP$
10060	226	9	mock	mock	NN
10060	226	10	-	-	HYPH
10060	226	11	up	up	NN
10060	226	12	in	in	IN
10060	226	13	front	front	NN
10060	226	14	of	of	IN
10060	226	15	subjects	subject	NNS
10060	226	16	and	and	CC
10060	226	17	conducted	conduct	VBD
10060	226	18	the	the	DT
10060	226	19	same	same	JJ
10060	226	20	exam	exam	NN
10060	226	21	above	above	RB
10060	226	22	.	.	.
10060	227	1	In	in	IN
10060	227	2	the	the	DT
10060	227	3	mock	mock	NN
10060	227	4	-	-	HYPH
10060	227	5	up	up	RP
10060	227	6	,	,	,
10060	227	7	we	-PRON-	PRP
10060	227	8	used	use	VBD
10060	227	9	the	the	DT
10060	227	10	basic	basic	JJ
10060	227	11	frame	frame	NN
10060	227	12	of	of	IN
10060	227	13	the	the	DT
10060	227	14	retrieval	retrieval	NN
10060	227	15	system	system	NN
10060	227	16	but	but	CC
10060	227	17	reframed	reframe	VBD
10060	227	18	the	the	DT
10060	227	19	refinement	refinement	JJ
10060	227	20	area	area	NN
10060	227	21	.	.	.
10060	228	1	In	in	IN
10060	228	2	the	the	DT
10060	228	3	new	new	JJ
10060	228	4	refinement	refinement	JJ
10060	228	5	area	area	NN
10060	228	6	(	(	-LRB-
10060	228	7	figure	figure	NNP
10060	228	8	7	7	CD
10060	228	9	)	)	-RRB-
10060	228	10	,	,	,
10060	228	11	we	-PRON-	PRP
10060	228	12	added	add	VBD
10060	228	13	an	an	DT
10060	228	14	optional	optional	JJ
10060	228	15	box	box	NN
10060	228	16	with	with	IN
10060	228	17	refinement	refinement	JJ
10060	228	18	keywords	keyword	NNS
10060	228	19	in	in	IN
10060	228	20	the	the	DT
10060	228	21	left	left	JJ
10060	228	22	column	column	NN
10060	228	23	to	to	TO
10060	228	24	narrow	narrow	VB
10060	228	25	the	the	DT
10060	228	26	search	search	NN
10060	228	27	scope	scope	NN
10060	228	28	.	.	.
10060	229	1	The	the	DT
10060	229	2	logic	logic	NN
10060	229	3	of	of	IN
10060	229	4	the	the	DT
10060	229	5	refined	refined	JJ
10060	229	6	keywords	keyword	NNS
10060	229	7	comes	come	VBZ
10060	229	8	from	from	IN
10060	229	9	the	the	DT
10060	229	10	indexing	indexing	NN
10060	229	11	category	category	NN
10060	229	12	,	,	,
10060	229	13	as	as	IN
10060	229	14	we	-PRON-	PRP
10060	229	15	mentioned	mention	VBD
10060	229	16	in	in	IN
10060	229	17	the	the	DT
10060	229	18	section	section	NN
10060	229	19	on	on	IN
10060	229	20	the	the	DT
10060	229	21	Indexing	indexing	NN
10060	229	22	books	book	NNS
10060	229	23	.	.	.
10060	230	1	“	"	``
10060	230	2	Michael	Michael	NNP
10060	230	3	Pollan	Pollan	NNP
10060	230	4	”	"	''
10060	230	5	was	be	VBD
10060	230	6	indexed	index	VBN
10060	230	7	in	in	IN
10060	230	8	six	six	CD
10060	230	9	categories	category	NNS
10060	230	10	:	:	:
10060	230	11	“	"	``
10060	230	12	Biographies	biography	NNS
10060	230	13	,	,	,
10060	230	14	”	"	''
10060	230	15	“	"	``
10060	230	16	Children	child	NNS
10060	230	17	’s	’s	POS
10060	230	18	Books	book	NNS
10060	230	19	,	,	,
10060	230	20	”	"	''
10060	230	21	“	"	``
10060	230	22	Cooking	Cooking	NNP
10060	230	23	and	and	CC
10060	230	24	Food	Food	NNP
10060	230	25	,	,	,
10060	230	26	”	"	''
10060	230	27	“	"	``
10060	230	28	Engineering	Engineering	NNP
10060	230	29	Manufactures	Manufactures	NNPS
10060	230	30	,	,	,
10060	230	31	”	"	''
10060	230	32	“	"	``
10060	230	33	Hobby	Hobby	NNP
10060	230	34	and	and	CC
10060	230	35	Leisure	Leisure	NNP
10060	230	36	,	,	,
10060	230	37	”	"	''
10060	230	38	and	and	CC
10060	230	39	“	"	``
10060	230	40	Gardening	garden	VBG
10060	230	41	.	.	.
10060	230	42	”	"	''
10060	230	43	Thus	thus	RB
10060	230	44	,	,	,
10060	230	45	when	when	WRB
10060	230	46	subjects	subject	NNS
10060	230	47	clicked	click	VBD
10060	230	48	the	the	DT
10060	230	49	“	"	``
10060	230	50	Cooking	Cooking	NNP
10060	230	51	and	and	CC
10060	230	52	Food	Food	NNP
10060	230	53	”	"	''
10060	230	54	category	category	NN
10060	230	55	,	,	,
10060	230	56	they	-PRON-	PRP
10060	230	57	can	can	MD
10060	230	58	refine	refine	VB
10060	230	59	the	the	DT
10060	230	60	results	result	NNS
10060	230	61	to	to	IN
10060	230	62	only	only	RB
10060	230	63	twelve	twelve	CD
10060	230	64	books	book	NNS
10060	230	65	rather	rather	RB
10060	230	66	than	than	IN
10060	230	67	the	the	DT
10060	230	68	seventy	seventy	CD
10060	230	69	books	book	NNS
10060	230	70	in	in	IN
10060	230	71	the	the	DT
10060	230	72	current	current	JJ
10060	230	73	system	system	NN
10060	230	74	.	.	.
10060	231	1	Users	user	NNS
10060	231	2	can	can	MD
10060	231	3	obtain	obtain	VB
10060	231	4	accurate	accurate	JJ
10060	231	5	retrieval	retrieval	NN
10060	231	6	results	result	NNS
10060	231	7	faster	fast	RBR
10060	231	8	.	.	.
10060	232	1	After	after	IN
10060	232	2	the	the	DT
10060	232	3	subjects	subject	NNS
10060	232	4	completed	complete	VBD
10060	232	5	their	-PRON-	PRP$
10060	232	6	tasks	task	NNS
10060	232	7	,	,	,
10060	232	8	they	-PRON-	PRP
10060	232	9	gave	give	VBD
10060	232	10	us	-PRON-	PRP
10060	232	11	a	a	DT
10060	232	12	score	score	NN
10060	232	13	from	from	IN
10060	232	14	one	one	CD
10060	232	15	to	to	TO
10060	232	16	ten	ten	CD
10060	232	17	representing	represent	VBG
10060	232	18	their	-PRON-	PRP$
10060	232	19	satisfaction	satisfaction	NN
10060	232	20	with	with	IN
10060	232	21	the	the	DT
10060	232	22	modified	modify	VBN
10060	232	23	retrieval	retrieval	NN
10060	232	24	system	system	NN
10060	232	25	.	.	.
10060	233	1	Figure	figure	NN
10060	233	2	7	7	CD
10060	233	3	.	.	.
10060	234	1	Refinement	refinement	JJ
10060	234	2	results	result	NNS
10060	234	3	in	in	IN
10060	234	4	the	the	DT
10060	234	5	modified	modify	VBN
10060	234	6	category	category	NN
10060	234	7	-	-	HYPH
10060	234	8	system	system	NN
10060	234	9	mock	mock	NN
10060	234	10	-	-	HYPH
10060	234	11	up	up	NN
10060	234	12	.	.	.
10060	235	1	INFORMATION	INFORMATION	NNP
10060	235	2	TECHNOLOGY	TECHNOLOGY	NNP
10060	235	3	AND	and	CC
10060	235	4	LIBRARIES	library	NNS
10060	235	5	|	|	NNP
10060	235	6	SEPTEMBER	SEPTEMBER	NNP
10060	235	7	2018	2018	CD
10060	235	8	78	78	CD
10060	235	9	Study	Study	NNP
10060	235	10	2	2	CD
10060	235	11	:	:	:
10060	235	12	Knowledge	Knowledge	NNP
10060	235	13	Recommendation	recommendation	NN
10060	235	14	In	in	IN
10060	235	15	this	this	DT
10060	235	16	experiment	experiment	NN
10060	235	17	,	,	,
10060	235	18	we	-PRON-	PRP
10060	235	19	conducted	conduct	VBD
10060	235	20	two	two	CD
10060	235	21	tests	test	NNS
10060	235	22	for	for	IN
10060	235	23	two	two	CD
10060	235	24	functions	function	NNS
10060	235	25	on	on	IN
10060	235	26	knowledge	knowledge	NN
10060	235	27	visualization	visualization	NN
10060	235	28	.	.	.
10060	236	1	One	one	CD
10060	236	2	tested	test	VBD
10060	236	3	the	the	DT
10060	236	4	preferences	preference	NNS
10060	236	5	for	for	IN
10060	236	6	the	the	DT
10060	236	7	net	net	JJ
10060	236	8	view	view	NN
10060	236	9	,	,	,
10060	236	10	and	and	CC
10060	236	11	the	the	DT
10060	236	12	other	other	JJ
10060	236	13	tested	test	VBD
10060	236	14	the	the	DT
10060	236	15	preferences	preference	NNS
10060	236	16	for	for	IN
10060	236	17	the	the	DT
10060	236	18	individual	individual	JJ
10060	236	19	recommendation	recommendation	NN
10060	236	20	.	.	.
10060	237	1	For	for	IN
10060	237	2	the	the	DT
10060	237	3	net	net	JJ
10060	237	4	view	view	NN
10060	237	5	,	,	,
10060	237	6	we	-PRON-	PRP
10060	237	7	guided	guide	VBD
10060	237	8	subjects	subject	NNS
10060	237	9	to	to	TO
10060	237	10	search	search	VB
10060	237	11	for	for	IN
10060	237	12	“	"	``
10060	237	13	William	William	NNP
10060	237	14	Davis	Davis	NNP
10060	237	15	”	"	''
10060	237	16	in	in	IN
10060	237	17	the	the	DT
10060	237	18	mock	mock	NN
10060	237	19	-	-	HYPH
10060	237	20	up	up	NN
10060	237	21	and	and	CC
10060	237	22	reminded	remind	VBD
10060	237	23	them	-PRON-	PRP
10060	237	24	to	to	TO
10060	237	25	click	click	VB
10060	237	26	the	the	DT
10060	237	27	net	net	JJ
10060	237	28	view	view	NN
10060	237	29	button	button	NN
10060	237	30	after	after	IN
10060	237	31	the	the	DT
10060	237	32	system	system	NN
10060	237	33	recalled	recall	VBD
10060	237	34	a	a	DT
10060	237	35	list	list	NN
10060	237	36	view	view	NN
10060	237	37	.	.	.
10060	238	1	Then	then	RB
10060	238	2	,	,	,
10060	238	3	the	the	DT
10060	238	4	subjects	subject	NNS
10060	238	5	could	could	MD
10060	238	6	see	see	VB
10060	238	7	the	the	DT
10060	238	8	net	net	JJ
10060	238	9	view	view	NN
10060	238	10	results	result	NNS
10060	238	11	in	in	IN
10060	238	12	figure	figure	NN
10060	238	13	5	5	CD
10060	238	14	.	.	.
10060	239	1	We	-PRON-	PRP
10060	239	2	recorded	record	VBD
10060	239	3	the	the	DT
10060	239	4	scores	score	NNS
10060	239	5	that	that	WDT
10060	239	6	they	-PRON-	PRP
10060	239	7	gave	give	VBD
10060	239	8	for	for	IN
10060	239	9	the	the	DT
10060	239	10	net	net	JJ
10060	239	11	view	view	NN
10060	239	12	.	.	.
10060	240	1	As	as	IN
10060	240	2	for	for	IN
10060	240	3	the	the	DT
10060	240	4	recommendation	recommendation	NN
10060	240	5	on	on	IN
10060	240	6	individual	individual	JJ
10060	240	7	books	book	NNS
10060	240	8	,	,	,
10060	240	9	we	-PRON-	PRP
10060	240	10	adopted	adopt	VBD
10060	240	11	multiple	multiple	JJ
10060	240	12	layers	layer	NNS
10060	240	13	of	of	IN
10060	240	14	associated	associate	VBN
10060	240	15	retrieval	retrieval	NN
10060	240	16	results	result	NNS
10060	240	17	for	for	IN
10060	240	18	every	every	DT
10060	240	19	book	book	NN
10060	240	20	.	.	.
10060	241	1	Users	user	NNS
10060	241	2	could	could	MD
10060	241	3	click	click	VB
10060	241	4	on	on	IN
10060	241	5	one	one	CD
10060	241	6	book	book	NN
10060	241	7	and	and	CC
10060	241	8	another	another	DT
10060	241	9	related	relate	VBN
10060	241	10	book	book	NN
10060	241	11	would	would	MD
10060	241	12	show	show	VB
10060	241	13	in	in	IN
10060	241	14	a	a	DT
10060	241	15	new	new	JJ
10060	241	16	tab	tab	NN
10060	241	17	window	window	NN
10060	241	18	.	.	.
10060	242	1	We	-PRON-	PRP
10060	242	2	asked	ask	VBD
10060	242	3	subjects	subject	NNS
10060	242	4	to	to	TO
10060	242	5	conduct	conduct	VB
10060	242	6	a	a	DT
10060	242	7	new	new	JJ
10060	242	8	search	search	NN
10060	242	9	for	for	IN
10060	242	10	“	"	``
10060	242	11	William	William	NNP
10060	242	12	Davis	Davis	NNP
10060	242	13	.	.	.
10060	242	14	”	"	''
10060	242	15	Then	then	RB
10060	242	16	they	-PRON-	PRP
10060	242	17	could	could	MD
10060	242	18	browse	browse	VB
10060	242	19	the	the	DT
10060	242	20	website	website	NN
10060	242	21	and	and	CC
10060	242	22	freely	freely	RB
10060	242	23	click	click	VB
10060	242	24	on	on	IN
10060	242	25	any	any	DT
10060	242	26	book	book	NN
10060	242	27	.	.	.
10060	243	1	Once	once	IN
10060	243	2	they	-PRON-	PRP
10060	243	3	clicked	click	VBD
10060	243	4	on	on	IN
10060	243	5	Davis	Davis	NNP
10060	243	6	’s	’s	POS
10060	243	7	book	book	NN
10060	243	8	Wheat	Wheat	NNP
10060	243	9	Belly	Belly	NNP
10060	243	10	:	:	:
10060	243	11	Lose	lose	VB
10060	243	12	the	the	DT
10060	243	13	Wheat	wheat	NN
10060	243	14	,	,	,
10060	243	15	Lose	lose	VB
10060	243	16	the	the	DT
10060	243	17	Weight	Weight	NNP
10060	243	18	,	,	,
10060	243	19	and	and	CC
10060	243	20	Find	find	VB
10060	243	21	Your	-PRON-	PRP$
10060	243	22	Path	path	NN
10060	243	23	Back	back	RB
10060	243	24	to	to	IN
10060	243	25	Health	Health	NNP
10060	243	26	,	,	,
10060	243	27	the	the	DT
10060	243	28	first	first	JJ
10060	243	29	recommendation	recommendation	NN
10060	243	30	results	result	NNS
10060	243	31	popped	pop	VBN
10060	243	32	up	up	RP
10060	243	33	(	(	-LRB-
10060	243	34	figure	figure	NN
10060	243	35	8)	8)	CD
10060	243	36	.	.	.
10060	244	1	The	the	DT
10060	244	2	recommendation	recommendation	NN
10060	244	3	results	result	VBZ
10060	244	4	about	about	IN
10060	244	5	wheat	wheat	NN
10060	244	6	in	in	IN
10060	244	7	the	the	DT
10060	244	8	field	field	NN
10060	244	9	of	of	IN
10060	244	10	“	"	``
10060	244	11	Grain	Grain	NNP
10060	244	12	and	and	CC
10060	244	13	Bread	Bread	NNP
10060	244	14	”	"	''
10060	244	15	showed	show	VBD
10060	244	16	up	up	RP
10060	244	17	,	,	,
10060	244	18	including	include	VBG
10060	244	19	Good	good	JJ
10060	244	20	to	to	IN
10060	244	21	the	the	DT
10060	244	22	Grain	grain	NN
10060	244	23	:	:	:
10060	244	24	Baking	bake	VBG
10060	244	25	with	with	IN
10060	244	26	Whole	Whole	NNP
10060	244	27	Grain	Grain	NNP
10060	244	28	Flours	Flours	NNPS
10060	244	29	and	and	CC
10060	244	30	Bread	Bread	NNP
10060	244	31	Bakers	Bakers	NNP
10060	244	32	Apprentice	Apprentice	NNP
10060	244	33	:	:	:
10060	244	34	Mastering	master	VBG
10060	244	35	the	the	DT
10060	244	36	Art	art	NN
10060	244	37	of	of	IN
10060	244	38	Extraordinary	Extraordinary	NNP
10060	244	39	Bread	Bread	NNP
10060	244	40	.	.	.
10060	245	1	Others	other	NNS
10060	245	2	about	about	IN
10060	245	3	health	health	NN
10060	245	4	and	and	CC
10060	245	5	losing	lose	VBG
10060	245	6	weight	weight	NN
10060	245	7	showed	show	VBD
10060	245	8	up	up	RP
10060	245	9	also	also	RB
10060	245	10	,	,	,
10060	245	11	such	such	JJ
10060	245	12	as	as	IN
10060	245	13	Paleo	Paleo	NNP
10060	245	14	Lunches	Lunches	NNP
10060	245	15	and	and	CC
10060	245	16	Breakfasts	Breakfasts	NNPS
10060	245	17	on	on	IN
10060	245	18	the	the	DT
10060	245	19	Go	go	NN
10060	245	20	.	.	.
10060	246	1	All	all	DT
10060	246	2	related	related	JJ
10060	246	3	books	book	NNS
10060	246	4	appeared	appear	VBD
10060	246	5	because	because	IN
10060	246	6	the	the	DT
10060	246	7	first	first	JJ
10060	246	8	book	book	NN
10060	246	9	is	be	VBZ
10060	246	10	about	about	RB
10060	246	11	both	both	DT
10060	246	12	wheat	wheat	NN
10060	246	13	and	and	CC
10060	246	14	a	a	DT
10060	246	15	healthy	healthy	JJ
10060	246	16	diet	diet	NN
10060	246	17	.	.	.
10060	247	1	A	a	DT
10060	247	2	new	new	JJ
10060	247	3	window	window	NN
10060	247	4	showing	show	VBG
10060	247	5	relevant	relevant	JJ
10060	247	6	authors	author	NNS
10060	247	7	and	and	CC
10060	247	8	titles	title	NNS
10060	247	9	would	would	MD
10060	247	10	pop	pop	VB
10060	247	11	up	up	RP
10060	247	12	if	if	IN
10060	247	13	the	the	DT
10060	247	14	mouse	mouse	NN
10060	247	15	glided	glide	VBD
10060	247	16	over	over	IN
10060	247	17	any	any	DT
10060	247	18	picture	picture	NN
10060	247	19	.	.	.
10060	248	1	We	-PRON-	PRP
10060	248	2	asked	ask	VBD
10060	248	3	the	the	DT
10060	248	4	subjects	subject	NNS
10060	248	5	about	about	IN
10060	248	6	their	-PRON-	PRP$
10060	248	7	thoughts	thought	NNS
10060	248	8	on	on	IN
10060	248	9	the	the	DT
10060	248	10	new	new	JJ
10060	248	11	recommendation	recommendation	NN
10060	248	12	format	format	NN
10060	248	13	and	and	CC
10060	248	14	recorded	record	VBD
10060	248	15	the	the	DT
10060	248	16	scores	score	NNS
10060	248	17	.	.	.
10060	249	1	Figure	figure	NN
10060	249	2	8	8	CD
10060	249	3	.	.	.
10060	250	1	An	an	DT
10060	250	2	example	example	NN
10060	250	3	of	of	IN
10060	250	4	knowledge	knowledge	NN
10060	250	5	recommendation	recommendation	NN
10060	250	6	.	.	.
10060	251	1	Users	user	NNS
10060	251	2	’	’	POS
10060	251	3	Feedback	Feedback	NNP
10060	251	4	As	as	IN
10060	251	5	a	a	DT
10060	251	6	result	result	NN
10060	251	7	,	,	,
10060	251	8	knowledge	knowledge	NN
10060	251	9	organization	organization	NN
10060	251	10	and	and	CC
10060	251	11	retrieval	retrieval	NN
10060	251	12	received	receive	VBD
10060	251	13	a	a	DT
10060	251	14	positive	positive	JJ
10060	251	15	response	response	NN
10060	251	16	(	(	-LRB-
10060	251	17	tables	table	NNS
10060	251	18	2	2	CD
10060	251	19	and	and	CC
10060	251	20	3	3	CD
10060	251	21	)	)	-RRB-
10060	251	22	.	.	.
10060	252	1	First	first	RB
10060	252	2	,	,	,
10060	252	3	subjects	subject	NNS
10060	252	4	complained	complain	VBD
10060	252	5	about	about	IN
10060	252	6	the	the	DT
10060	252	7	inefficiency	inefficiency	NN
10060	252	8	of	of	IN
10060	252	9	the	the	DT
10060	252	10	current	current	JJ
10060	252	11	retrieval	retrieval	NN
10060	252	12	system	system	NN
10060	252	13	in	in	IN
10060	252	14	that	that	IN
10060	252	15	it	-PRON-	PRP
10060	252	16	took	take	VBD
10060	252	17	so	so	RB
10060	252	18	long	long	JJ
10060	252	19	to	to	TO
10060	252	20	find	find	VB
10060	252	21	one	one	CD
10060	252	22	book	book	NN
10060	252	23	without	without	IN
10060	252	24	using	use	VBG
10060	252	25	shortcut	shortcut	NN
10060	252	26	keys	key	NNS
10060	252	27	(	(	-LRB-
10060	252	28	Ctrl	Ctrl	NNP
10060	252	29	-	-	HYPH
10060	252	30	F	F	NNP
10060	252	31	)	)	-RRB-
10060	252	32	.	.	.
10060	253	1	Three	three	CD
10060	253	2	quarters	quarter	NNS
10060	253	3	of	of	IN
10060	253	4	them	-PRON-	PRP
10060	253	5	were	be	VBD
10060	253	6	not	not	RB
10060	253	7	satisfied	satisfied	JJ
10060	253	8	with	with	IN
10060	253	9	the	the	DT
10060	253	10	original	original	JJ
10060	253	11	search	search	NN
10060	253	12	style	style	NN
10060	253	13	due	due	IN
10060	253	14	to	to	IN
10060	253	15	the	the	DT
10060	253	16	search	search	NN
10060	253	17	time	time	NN
10060	253	18	length	length	NN
10060	253	19	.	.	.
10060	254	1	However	however	RB
10060	254	2	,	,	,
10060	254	3	67	67	CD
10060	254	4	percent	percent	NN
10060	254	5	of	of	IN
10060	254	6	the	the	DT
10060	254	7	subjects	subject	NNS
10060	254	8	gave	give	VBD
10060	254	9	a	a	DT
10060	254	10	score	score	NN
10060	254	11	of	of	IN
10060	254	12	more	more	JJR
10060	254	13	than	than	IN
10060	254	14	eight	eight	CD
10060	254	15	points	point	NNS
10060	254	16	for	for	IN
10060	254	17	the	the	DT
10060	254	18	refined	refined	JJ
10060	254	19	search	search	NN
10060	254	20	results	result	NNS
10060	254	21	of	of	IN
10060	254	22	our	-PRON-	PRP$
10060	254	23	new	new	JJ
10060	254	24	system	system	NN
10060	254	25	.	.	.
10060	255	1	OF	of	IN
10060	255	2	THE	the	DT
10060	255	3	PEOPLE	PEOPLE	NNS
10060	255	4	,	,	,
10060	255	5	FOR	for	IN
10060	255	6	THE	the	DT
10060	255	7	PEOPLE	PEOPLE	NNPS
10060	255	8	|	|	NNP
10060	255	9	LOU	LOU	NNP
10060	255	10	,	,	,
10060	255	11	WANG	WANG	NNP
10060	255	12	,	,	,
10060	255	13	AND	and	CC
10060	255	14	HE	he	PRP
10060	255	15	79	79	CD
10060	255	16	https://doi.org/10.6017/ital.v37i3.10060	https://doi.org/10.6017/ital.v37i3.10060	NN
10060	255	17	Only	only	RB
10060	255	18	two	two	CD
10060	255	19	of	of	IN
10060	255	20	them	-PRON-	PRP
10060	255	21	thought	think	VBD
10060	255	22	that	that	IN
10060	255	23	it	-PRON-	PRP
10060	255	24	was	be	VBD
10060	255	25	useless	useless	JJ
10060	255	26	since	since	IN
10060	255	27	they	-PRON-	PRP
10060	255	28	were	be	VBD
10060	255	29	the	the	DT
10060	255	30	two	two	CD
10060	255	31	users	user	NNS
10060	255	32	who	who	WP
10060	255	33	only	only	RB
10060	255	34	took	take	VBD
10060	255	35	ten	ten	CD
10060	255	36	seconds	second	NNS
10060	255	37	to	to	TO
10060	255	38	target	target	VB
10060	255	39	the	the	DT
10060	255	40	exact	exact	JJ
10060	255	41	result	result	NN
10060	255	42	.	.	.
10060	256	1	Second	second	JJ
10060	256	2	,	,	,
10060	256	3	67	67	CD
10060	256	4	percent	percent	NN
10060	256	5	and	and	CC
10060	256	6	74	74	CD
10060	256	7	percent	percent	NN
10060	256	8	of	of	IN
10060	256	9	the	the	DT
10060	256	10	subjects	subject	NNS
10060	256	11	,	,	,
10060	256	12	respectively	respectively	RB
10060	256	13	,	,	,
10060	256	14	thought	think	VBD
10060	256	15	that	that	IN
10060	256	16	the	the	DT
10060	256	17	knowledge	knowledge	NN
10060	256	18	recommendation	recommendation	NN
10060	256	19	and	and	CC
10060	256	20	net	net	JJ
10060	256	21	view	view	NN
10060	256	22	were	be	VBD
10060	256	23	useful	useful	JJ
10060	256	24	and	and	CC
10060	256	25	gave	give	VBD
10060	256	26	them	-PRON-	PRP
10060	256	27	six	six	CD
10060	256	28	points	point	NNS
10060	256	29	.	.	.
10060	257	1	However	however	RB
10060	257	2	,	,	,
10060	257	3	five	five	CD
10060	257	4	subjects	subject	NNS
10060	257	5	gave	give	VBD
10060	257	6	scores	score	NNS
10060	257	7	of	of	IN
10060	257	8	one	one	CD
10060	257	9	point	point	NN
10060	257	10	because	because	IN
10060	257	11	they	-PRON-	PRP
10060	257	12	maintained	maintain	VBD
10060	257	13	that	that	IN
10060	257	14	it	-PRON-	PRP
10060	257	15	was	be	VBD
10060	257	16	not	not	RB
10060	257	17	necessary	necessary	JJ
10060	257	18	to	to	TO
10060	257	19	build	build	VB
10060	257	20	a	a	DT
10060	257	21	new	new	JJ
10060	257	22	viewer	viewer	NN
10060	257	23	system	system	NN
10060	257	24	.	.	.
10060	258	1	Table	table	NN
10060	258	2	2	2	CD
10060	258	3	.	.	.
10060	259	1	The	the	DT
10060	259	2	time	time	NN
10060	259	3	to	to	TO
10060	259	4	find	find	VB
10060	259	5	the	the	DT
10060	259	6	exact	exact	JJ
10060	259	7	result	result	NN
10060	259	8	in	in	IN
10060	259	9	the	the	DT
10060	259	10	current	current	JJ
10060	259	11	system	system	NN
10060	259	12	.	.	.
10060	260	1	Answers	answer	NNS
10060	260	2	#	#	$
10060	260	3	of	of	IN
10060	260	4	users	user	NNS
10060	260	5	Fewer	few	JJR
10060	260	6	than	than	IN
10060	260	7	10	10	CD
10060	260	8	seconds	second	NNS
10060	260	9	2	2	CD
10060	260	10	10	10	CD
10060	260	11	to	to	TO
10060	260	12	30	30	CD
10060	260	13	seconds	second	NNS
10060	260	14	4	4	CD
10060	260	15	30	30	CD
10060	260	16	seconds	second	NNS
10060	260	17	to	to	IN
10060	260	18	1	1	CD
10060	260	19	minute	minute	NN
10060	260	20	12	12	CD
10060	260	21	More	More	JJR
10060	260	22	than	than	IN
10060	260	23	1	1	CD
10060	260	24	minute	minute	NN
10060	260	25	21	21	CD
10060	260	26	Table	table	NN
10060	260	27	3	3	CD
10060	260	28	.	.	.
10060	261	1	Statistics	statistic	NNS
10060	261	2	of	of	IN
10060	261	3	quantitative	quantitative	JJ
10060	261	4	questions	question	NNS
10060	261	5	in	in	IN
10060	261	6	the	the	DT
10060	261	7	questionnaire	questionnaire	NN
10060	261	8	.	.	.
10060	262	1	Score	Score	NNP
10060	262	2	Questions	Questions	NNPS
10060	262	3	10	10	CD
10060	262	4	9	9	CD
10060	262	5	8	8	CD
10060	262	6	7	7	CD
10060	262	7	6	6	CD
10060	262	8	5	5	CD
10060	262	9	4	4	CD
10060	262	10	3	3	CD
10060	262	11	2	2	CD
10060	262	12	1	1	CD
10060	262	13	Total	Total	NNP
10060	262	14	Satisfied	Satisfied	NNP
10060	262	15	with	with	IN
10060	262	16	original	original	JJ
10060	262	17	results	result	NNS
10060	262	18	0	0	NFP
10060	262	19	0	0	CD
10060	262	20	0	0	CD
10060	262	21	0	0	CD
10060	262	22	1	1	CD
10060	262	23	9	9	CD
10060	262	24	14	14	CD
10060	262	25	9	9	CD
10060	262	26	4	4	CD
10060	262	27	2	2	CD
10060	262	28	39	39	CD
10060	262	29	Preference	preference	NN
10060	262	30	of	of	IN
10060	262	31	refined	refined	JJ
10060	262	32	results	result	NNS
10060	262	33	2	2	CD
10060	262	34	10	10	CD
10060	262	35	14	14	CD
10060	262	36	6	6	CD
10060	262	37	5	5	CD
10060	262	38	0	0	CD
10060	262	39	0	0	CD
10060	262	40	0	0	CD
10060	262	41	0	0	CD
10060	262	42	0	0	CD
10060	262	43	37	37	CD
10060	262	44	Preference	preference	NN
10060	262	45	of	of	IN
10060	262	46	results	result	NNS
10060	262	47	in	in	IN
10060	262	48	net	net	JJ
10060	262	49	view	view	NN
10060	262	50	1	1	CD
10060	262	51	8	8	CD
10060	262	52	10	10	CD
10060	262	53	6	6	CD
10060	262	54	4	4	CD
10060	262	55	1	1	CD
10060	262	56	2	2	CD
10060	262	57	3	3	CD
10060	262	58	1	1	CD
10060	262	59	3	3	CD
10060	262	60	39	39	CD
10060	262	61	Preference	preference	NN
10060	262	62	of	of	IN
10060	262	63	knowledge	knowledge	NN
10060	262	64	recommendation	recommendation	NN
10060	262	65	3	3	CD
10060	262	66	6	6	CD
10060	262	67	4	4	CD
10060	262	68	8	8	CD
10060	262	69	5	5	CD
10060	262	70	6	6	CD
10060	262	71	0	0	CD
10060	262	72	3	3	CD
10060	262	73	1	1	CD
10060	262	74	2	2	CD
10060	262	75	38	38	CD
10060	262	76	During	during	IN
10060	262	77	the	the	DT
10060	262	78	interview	interview	NN
10060	262	79	,	,	,
10060	262	80	subjects	subject	NNS
10060	262	81	who	who	WP
10060	262	82	gave	give	VBD
10060	262	83	scores	score	NNS
10060	262	84	of	of	IN
10060	262	85	more	more	JJR
10060	262	86	than	than	IN
10060	262	87	eight	eight	CD
10060	262	88	points	point	NNS
10060	262	89	spoke	speak	VBD
10060	262	90	positively	positively	RB
10060	262	91	about	about	IN
10060	262	92	the	the	DT
10060	262	93	vivid	vivid	JJ
10060	262	94	visualization	visualization	NN
10060	262	95	of	of	IN
10060	262	96	the	the	DT
10060	262	97	retrieval	retrieval	NN
10060	262	98	results	result	NNS
10060	262	99	,	,	,
10060	262	100	using	use	VBG
10060	262	101	words	word	NNS
10060	262	102	such	such	JJ
10060	262	103	as	as	IN
10060	262	104	“	"	``
10060	262	105	innovative	innovative	JJ
10060	262	106	”	"	''
10060	262	107	and	and	CC
10060	262	108	“	"	``
10060	262	109	creative	creative	JJ
10060	262	110	.	.	.
10060	262	111	”	"	''
10060	262	112	For	for	IN
10060	262	113	instance	instance	NN
10060	262	114	,	,	,
10060	262	115	User	User	NNP
10060	262	116	11	11	CD
10060	262	117	said	say	VBD
10060	262	118	,	,	,
10060	262	119	“	"	``
10060	262	120	Bravo	bravo	NN
10060	262	121	changes	change	VBZ
10060	262	122	for	for	IN
10060	262	123	Powell	Powell	NNP
10060	262	124	,	,	,
10060	262	125	that	that	IN
10060	262	126	’d	’d	MD
10060	262	127	be	be	VB
10060	262	128	the	the	DT
10060	262	129	most	most	RBS
10060	262	130	innovative	innovative	JJ
10060	262	131	experience	experience	NN
10060	262	132	for	for	IN
10060	262	133	the	the	DT
10060	262	134	locals	local	NNS
10060	262	135	.	.	.
10060	262	136	”	"	''
10060	262	137	Among	among	IN
10060	262	138	the	the	DT
10060	262	139	subjects	subject	NNS
10060	262	140	who	who	WP
10060	262	141	gave	give	VBD
10060	262	142	scores	score	NNS
10060	262	143	of	of	IN
10060	262	144	more	more	JJR
10060	262	145	than	than	IN
10060	262	146	six	six	CD
10060	262	147	points	point	NNS
10060	262	148	,	,	,
10060	262	149	the	the	DT
10060	262	150	comments	comment	NNS
10060	262	151	were	be	VBD
10060	262	152	mostly	mostly	RB
10060	262	153	“	"	``
10060	262	154	interesting	interesting	JJ
10060	262	155	idea	idea	NN
10060	262	156	.	.	.
10060	262	157	”	"	''
10060	262	158	For	for	IN
10060	262	159	instance	instance	NN
10060	262	160	,	,	,
10060	262	161	User	User	NNP
10060	262	162	17	17	CD
10060	262	163	commented	comment	VBD
10060	262	164	,	,	,
10060	262	165	“	"	``
10060	262	166	This	this	DT
10060	262	167	is	be	VBZ
10060	262	168	an	an	DT
10060	262	169	interesting	interesting	JJ
10060	262	170	idea	idea	NN
10060	262	171	to	to	TO
10060	262	172	explore	explore	VB
10060	262	173	my	-PRON-	PRP$
10060	262	174	knowledge	knowledge	NN
10060	262	175	.	.	.
10060	263	1	I	-PRON-	PRP
10060	263	2	had	have	VBD
10060	263	3	no	no	DT
10060	263	4	idea	idea	NN
10060	263	5	Powell	Powell	NNP
10060	263	6	could	could	MD
10060	263	7	do	do	VB
10060	263	8	such	such	PDT
10060	263	9	an	an	DT
10060	263	10	improvement	improvement	NN
10060	263	11	.	.	.
10060	263	12	”	"	''
10060	263	13	Some	some	DT
10060	263	14	users	user	NNS
10060	263	15	offered	offer	VBD
10060	263	16	suggestions	suggestion	NNS
10060	263	17	to	to	TO
10060	263	18	improve	improve	VB
10060	263	19	the	the	DT
10060	263	20	system	system	NN
10060	263	21	.	.	.
10060	264	1	For	for	IN
10060	264	2	example	example	NN
10060	264	3	,	,	,
10060	264	4	User	User	NNP
10060	264	5	12	12	CD
10060	264	6	suggested	suggest	VBD
10060	264	7	that	that	IN
10060	264	8	the	the	DT
10060	264	9	system	system	NN
10060	264	10	was	be	VBD
10060	264	11	not	not	RB
10060	264	12	comprehensive	comprehensive	JJ
10060	264	13	enough	enough	RB
10060	264	14	to	to	TO
10060	264	15	confidently	confidently	RB
10060	264	16	assess	assess	VB
10060	264	17	whether	whether	IN
10060	264	18	the	the	DT
10060	264	19	modified	modify	VBN
10060	264	20	category	category	NN
10060	264	21	system	system	NN
10060	264	22	was	be	VBD
10060	264	23	better	well	JJR
10060	264	24	than	than	IN
10060	264	25	the	the	DT
10060	264	26	previous	previous	JJ
10060	264	27	system	system	NN
10060	264	28	.	.	.
10060	265	1	User	User	NNP
10060	265	2	25	25	CD
10060	265	3	(	(	-LRB-
10060	265	4	a	a	DT
10060	265	5	possible	possible	JJ
10060	265	6	professional	professional	NN
10060	265	7	)	)	-RRB-
10060	265	8	was	be	VBD
10060	265	9	very	very	RB
10060	265	10	concerned	concerned	JJ
10060	265	11	about	about	IN
10060	265	12	the	the	DT
10060	265	13	recall	recall	NN
10060	265	14	efficiency	efficiency	NN
10060	265	15	since	since	IN
10060	265	16	the	the	DT
10060	265	17	system	system	NN
10060	265	18	might	may	MD
10060	265	19	use	use	VB
10060	265	20	many	many	JJ
10060	265	21	matching	match	VBG
10060	265	22	algorithms	algorithm	NNS
10060	265	23	.	.	.
10060	266	1	DISCUSSION	discussion	NN
10060	266	2	AND	and	CC
10060	266	3	CONCLUSION	conclusion	NN
10060	266	4	In	in	IN
10060	266	5	this	this	DT
10060	266	6	paper	paper	NN
10060	266	7	,	,	,
10060	266	8	a	a	DT
10060	266	9	digital	digital	JJ
10060	266	10	literature	literature	NN
10060	266	11	resource	resource	NN
10060	266	12	organization	organization	NN
10060	266	13	model	model	NN
10060	266	14	based	base	VBN
10060	266	15	on	on	IN
10060	266	16	user	user	NN
10060	266	17	cognition	cognition	NN
10060	266	18	is	be	VBZ
10060	266	19	proposed	propose	VBN
10060	266	20	.	.	.
10060	267	1	This	this	DT
10060	267	2	model	model	NN
10060	267	3	aims	aim	VBZ
10060	267	4	to	to	TO
10060	267	5	make	make	VB
10060	267	6	users	user	NNS
10060	267	7	exert	exert	VB
10060	267	8	subjective	subjective	JJ
10060	267	9	initiative	initiative	NN
10060	267	10	.	.	.
10060	268	1	We	-PRON-	PRP
10060	268	2	noticed	notice	VBD
10060	268	3	a	a	DT
10060	268	4	significant	significant	JJ
10060	268	5	difference	difference	NN
10060	268	6	between	between	IN
10060	268	7	the	the	DT
10060	268	8	previous	previous	JJ
10060	268	9	category	category	NN
10060	268	10	system	system	NN
10060	268	11	and	and	CC
10060	268	12	the	the	DT
10060	268	13	new	new	JJ
10060	268	14	system	system	NN
10060	268	15	based	base	VBN
10060	268	16	on	on	IN
10060	268	17	user	user	NN
10060	268	18	cognition	cognition	NN
10060	268	19	.	.	.
10060	269	1	Our	-PRON-	PRP$
10060	269	2	aim	aim	NN
10060	269	3	,	,	,
10060	269	4	which	which	WDT
10060	269	5	was	be	VBD
10060	269	6	“	"	``
10060	269	7	of	of	IN
10060	269	8	the	the	DT
10060	269	9	people	people	NNS
10060	269	10	,	,	,
10060	269	11	for	for	IN
10060	269	12	the	the	DT
10060	269	13	people	people	NNS
10060	269	14	,	,	,
10060	269	15	”	"	''
10060	269	16	was	be	VBD
10060	269	17	fulfilled	fulfil	VBN
10060	269	18	.	.	.
10060	270	1	Taking	take	VBG
10060	270	2	Powell	Powell	NNP
10060	270	3	’s	’s	NNP
10060	270	4	City	City	NNP
10060	270	5	of	of	IN
10060	270	6	Books	Books	NNPS
10060	270	7	as	as	IN
10060	270	8	an	an	DT
10060	270	9	example	example	NN
10060	270	10	,	,	,
10060	270	11	it	-PRON-	PRP
10060	270	12	is	be	VBZ
10060	270	13	purposeful	purposeful	JJ
10060	270	14	to	to	TO
10060	270	15	describe	describe	VB
10060	270	16	how	how	WRB
10060	270	17	to	to	TO
10060	270	18	construct	construct	VB
10060	270	19	a	a	DT
10060	270	20	knowledge	knowledge	NN
10060	270	21	network	network	NN
10060	270	22	based	base	VBN
10060	270	23	on	on	IN
10060	270	24	user	user	NN
10060	270	25	cognition	cognition	NN
10060	270	26	.	.	.
10060	271	1	The	the	DT
10060	271	2	user	user	NN
10060	271	3	experience	experience	NN
10060	271	4	study	study	NN
10060	271	5	showed	show	VBD
10060	271	6	that	that	IN
10060	271	7	this	this	DT
10060	271	8	network	network	NN
10060	271	9	implements	implement	VBZ
10060	271	10	an	an	DT
10060	271	11	optimized	optimize	VBN
10060	271	12	exhibition	exhibition	NN
10060	271	13	of	of	IN
10060	271	14	a	a	DT
10060	271	15	digital	digital	JJ
10060	271	16	-	-	HYPH
10060	271	17	resource	resource	NN
10060	271	18	knowledge	knowledge	NN
10060	271	19	recommendation	recommendation	NN
10060	271	20	and	and	CC
10060	271	21	knowledge	knowledge	NN
10060	271	22	retrieval	retrieval	NN
10060	271	23	.	.	.
10060	272	1	Although	although	IN
10060	272	2	user	user	NN
10060	272	3	cognition	cognition	NN
10060	272	4	includes	include	VBZ
10060	272	5	many	many	JJ
10060	272	6	other	other	JJ
10060	272	7	processes	process	NNS
10060	272	8	of	of	IN
10060	272	9	user	user	NN
10060	272	10	behavior	behavior	NN
10060	272	11	,	,	,
10060	272	12	we	-PRON-	PRP
10060	272	13	only	only	RB
10060	272	14	used	use	VBD
10060	272	15	the	the	DT
10060	272	16	literal	literal	JJ
10060	272	17	expression	expression	NN
10060	272	18	.	.	.
10060	273	1	It	-PRON-	PRP
10060	273	2	turned	turn	VBD
10060	273	3	out	out	RP
10060	273	4	to	to	TO
10060	273	5	be	be	VB
10060	273	6	a	a	DT
10060	273	7	positive	positive	JJ
10060	273	8	and	and	CC
10060	273	9	possible	possible	JJ
10060	273	10	way	way	NN
10060	273	11	to	to	TO
10060	273	12	reveal	reveal	VB
10060	273	13	users	user	NNS
10060	273	14	’	’	POS
10060	273	15	cognition	cognition	NN
10060	273	16	.	.	.
10060	274	1	INFORMATION	INFORMATION	NNP
10060	274	2	TECHNOLOGY	TECHNOLOGY	NNP
10060	274	3	AND	and	CC
10060	274	4	LIBRARIES	library	NNS
10060	274	5	|	|	NNP
10060	274	6	SEPTEMBER	SEPTEMBER	NNP
10060	274	7	2018	2018	CD
10060	274	8	80	80	CD
10060	274	9	We	-PRON-	PRP
10060	274	10	find	find	VBP
10060	274	11	that	that	IN
10060	274	12	there	there	EX
10060	274	13	is	be	VBZ
10060	274	14	much	much	RB
10060	274	15	more	more	JJR
10060	274	16	space	space	NN
10060	274	17	for	for	IN
10060	274	18	the	the	DT
10060	274	19	construction	construction	NN
10060	274	20	object	object	NN
10060	274	21	of	of	IN
10060	274	22	digital	digital	JJ
10060	274	23	resource	resource	NN
10060	274	24	knowledge	knowledge	NN
10060	274	25	recommendation	recommendation	NN
10060	274	26	based	base	VBN
10060	274	27	on	on	IN
10060	274	28	user	user	NN
10060	274	29	cognition	cognition	NN
10060	274	30	.	.	.
10060	275	1	For	for	IN
10060	275	2	one	one	CD
10060	275	3	,	,	,
10060	275	4	in	in	IN
10060	275	5	this	this	DT
10060	275	6	paper	paper	NN
10060	275	7	we	-PRON-	PRP
10060	275	8	only	only	RB
10060	275	9	take	take	VBP
10060	275	10	the	the	DT
10060	275	11	familiar	familiar	JJ
10060	275	12	Book	Book	NNP
10060	275	13	City	City	NNP
10060	275	14	as	as	IN
10060	275	15	a	a	DT
10060	275	16	study	study	NN
10060	275	17	object	object	NN
10060	275	18	and	and	CC
10060	275	19	books	book	NNS
10060	275	20	as	as	IN
10060	275	21	experiment	experiment	NN
10060	275	22	objects	object	NNS
10060	275	23	and	and	CC
10060	275	24	determined	determine	VBN
10060	275	25	favorable	favorable	JJ
10060	275	26	positive	positive	JJ
10060	275	27	effects	effect	NNS
10060	275	28	,	,	,
10060	275	29	which	which	WDT
10060	275	30	indicates	indicate	VBZ
10060	275	31	that	that	IN
10060	275	32	the	the	DT
10060	275	33	digital	digital	JJ
10060	275	34	resource	resource	NN
10060	275	35	knowledge	knowledge	NN
10060	275	36	link	link	NN
10060	275	37	can	can	MD
10060	275	38	be	be	VB
10060	275	39	applied	apply	VBN
10060	275	40	to	to	IN
10060	275	41	physical	physical	JJ
10060	275	42	libraries	library	NNS
10060	275	43	and	and	CC
10060	275	44	bookstores	bookstore	NNS
10060	275	45	or	or	CC
10060	275	46	other	other	JJ
10060	275	47	types	type	NNS
10060	275	48	of	of	IN
10060	275	49	literature	literature	NN
10060	275	50	.	.	.
10060	276	1	Even	even	RB
10060	276	2	though	though	IN
10060	276	3	libraries	library	NNS
10060	276	4	have	have	VBP
10060	276	5	well	well	RB
10060	276	6	-	-	HYPH
10060	276	7	developed	develop	VBN
10060	276	8	taxonomy	taxonomy	NN
10060	276	9	systems	system	NNS
10060	276	10	,	,	,
10060	276	11	they	-PRON-	PRP
10060	276	12	can	can	MD
10060	276	13	be	be	VB
10060	276	14	compared	compare	VBN
10060	276	15	with	with	IN
10060	276	16	or	or	CC
10060	276	17	combined	combine	VBN
10060	276	18	with	with	IN
10060	276	19	new	new	JJ
10060	276	20	ideas	idea	NNS
10060	276	21	.	.	.
10060	277	1	For	for	IN
10060	277	2	another	another	DT
10060	277	3	,	,	,
10060	277	4	users	user	NNS
10060	277	5	adore	adore	VBP
10060	277	6	visual	visual	JJ
10060	277	7	effects	effect	NNS
10060	277	8	and	and	CC
10060	277	9	user	user	NN
10060	277	10	functions	function	NNS
10060	277	11	.	.	.
10060	278	1	The	the	DT
10060	278	2	results	result	NNS
10060	278	3	show	show	VBP
10060	278	4	promise	promise	NN
10060	278	5	in	in	IN
10060	278	6	actualizing	actualize	VBG
10060	278	7	improvements	improvement	NNS
10060	278	8	to	to	IN
10060	278	9	Book	Book	NNP
10060	278	10	City	City	NNP
10060	278	11	’s	’s	POS
10060	278	12	website	website	NN
10060	278	13	or	or	CC
10060	278	14	even	even	RB
10060	278	15	to	to	IN
10060	278	16	other	other	JJ
10060	278	17	digital	digital	JJ
10060	278	18	platforms	platform	NNS
10060	278	19	.	.	.
10060	279	1	The	the	DT
10060	279	2	concerns	concern	NNS
10060	279	3	will	will	MD
10060	279	4	be	be	VB
10060	279	5	how	how	WRB
10060	279	6	to	to	TO
10060	279	7	optimize	optimize	VB
10060	279	8	the	the	DT
10060	279	9	retrieval	retrieval	NN
10060	279	10	algorithm	algorithm	NN
10060	279	11	and	and	CC
10060	279	12	reduce	reduce	VB
10060	279	13	the	the	DT
10060	279	14	time	time	NN
10060	279	15	costs	cost	NNS
10060	279	16	in	in	IN
10060	279	17	the	the	DT
10060	279	18	next	next	JJ
10060	279	19	study	study	NN
10060	279	20	.	.	.
10060	280	1	ACKNOWLEDGEMENTS	ACKNOWLEDGEMENTS	NNP
10060	280	2	We	-PRON-	PRP
10060	280	3	thank	thank	VBP
10060	280	4	Carolyn	Carolyn	NNP
10060	280	5	McKay	McKay	NNP
10060	280	6	and	and	CC
10060	280	7	Powell	Powell	NNP
10060	280	8	’s	’s	NNP
10060	280	9	City	City	NNP
10060	280	10	of	of	IN
10060	280	11	Books	Books	NNPS
10060	280	12	for	for	IN
10060	280	13	such	such	JJ
10060	280	14	great	great	JJ
10060	280	15	help	help	NN
10060	280	16	for	for	IN
10060	280	17	the	the	DT
10060	280	18	questionnaire	questionnaire	NN
10060	280	19	networking	networking	NN
10060	280	20	and	and	CC
10060	280	21	all	all	DT
10060	280	22	participates	participate	NNS
10060	280	23	for	for	IN
10060	280	24	feedback	feedback	NN
10060	280	25	.	.	.
10060	281	1	This	this	DT
10060	281	2	work	work	NN
10060	281	3	was	be	VBD
10060	281	4	supported	support	VBN
10060	281	5	by	by	IN
10060	281	6	the	the	DT
10060	281	7	National	National	NNP
10060	281	8	Social	Social	NNP
10060	281	9	Science	Science	NNP
10060	281	10	Foundation	Foundation	NNP
10060	281	11	of	of	IN
10060	281	12	China	China	NNP
10060	281	13	[	[	-LRB-
10060	281	14	grant	grant	VBP
10060	281	15	number	number	NN
10060	281	16	17CTQ025	17CTQ025	NNP
10060	281	17	]	]	-RRB-
10060	281	18	.	.	.
10060	282	1	REFERENCES	reference	NNS
10060	282	2	AND	and	CC
10060	282	3	NOTES	note	NNS
10060	282	4	1	1	CD
10060	282	5	Peter	Peter	NNP
10060	282	6	Carruthers	Carruthers	NNP
10060	282	7	,	,	,
10060	282	8	Stephen	Stephen	NNP
10060	282	9	Stich	Stich	NNP
10060	282	10	,	,	,
10060	282	11	and	and	CC
10060	282	12	Michael	Michael	NNP
10060	282	13	Siegal	Siegal	NNP
10060	282	14	,	,	,
10060	282	15	The	the	DT
10060	282	16	Cognitive	Cognitive	NNP
10060	282	17	Basis	Basis	NNP
10060	282	18	of	of	IN
10060	282	19	Science	Science	NNP
10060	282	20	(	(	-LRB-
10060	282	21	Cambridge	Cambridge	NNP
10060	282	22	:	:	:
10060	282	23	Cambridge	Cambridge	NNP
10060	282	24	University	University	NNP
10060	282	25	Press	Press	NNP
10060	282	26	,	,	,
10060	282	27	2002	2002	CD
10060	282	28	)	)	-RRB-
10060	282	29	.	.	.
10060	283	1	2	2	CD
10060	283	2	Sophie	Sophie	NNP
10060	283	3	Monchaux	Monchaux	NNP
10060	283	4	et	et	NNP
10060	283	5	al	al	NNP
10060	283	6	.	.	NNP
10060	283	7	,	,	,
10060	283	8	“	"	``
10060	283	9	Query	Query	NNP
10060	283	10	Strategies	Strategies	NNP
10060	283	11	during	during	IN
10060	283	12	Information	Information	NNP
10060	283	13	Searching	searching	NN
10060	283	14	:	:	:
10060	283	15	Effects	effect	NNS
10060	283	16	of	of	IN
10060	283	17	Prior	Prior	NNP
10060	283	18	Domain	Domain	NNP
10060	283	19	Knowledge	Knowledge	NNP
10060	283	20	and	and	CC
10060	283	21	Complexity	complexity	NN
10060	283	22	of	of	IN
10060	283	23	the	the	DT
10060	283	24	Information	Information	NNP
10060	283	25	Problems	Problems	NNPS
10060	283	26	to	to	TO
10060	283	27	Be	be	VB
10060	283	28	Solved	solve	VBN
10060	283	29	,	,	,
10060	283	30	”	"	''
10060	283	31	Information	Information	NNP
10060	283	32	Processing	Processing	NNP
10060	283	33	and	and	CC
10060	283	34	Management	Management	NNP
10060	283	35	51	51	CD
10060	283	36	,	,	,
10060	283	37	no	no	UH
10060	283	38	.	.	.
10060	284	1	5	5	CD
10060	284	2	(	(	-LRB-
10060	284	3	2015	2015	CD
10060	284	4	)	)	-RRB-
10060	284	5	:	:	:
10060	284	6	557–69	557–69	CD
10060	284	7	,	,	,
10060	284	8	https://doi.org/10.1016/j.ipm.2015.05.004	https://doi.org/10.1016/j.ipm.2015.05.004	NNP
10060	284	9	.	.	.
10060	285	1	3	3	CD
10060	285	2	Hoill	Hoill	NNP
10060	285	3	Jung	Jung	NNP
10060	285	4	and	and	CC
10060	285	5	Kyungyong	Kyungyong	NNP
10060	285	6	Chung	Chung	NNP
10060	285	7	,	,	,
10060	285	8	“	"	``
10060	285	9	Knowledge	knowledge	NN
10060	285	10	-	-	HYPH
10060	285	11	Based	base	VBN
10060	285	12	Dietary	Dietary	NNP
10060	285	13	Nutrition	Nutrition	NNP
10060	285	14	Recommendation	Recommendation	NNP
10060	285	15	for	for	IN
10060	285	16	Obese	obese	JJ
10060	285	17	Management	Management	NNP
10060	285	18	,	,	,
10060	285	19	”	"	''
10060	285	20	Information	Information	NNP
10060	285	21	Technology	Technology	NNP
10060	285	22	and	and	CC
10060	285	23	Management	Management	NNP
10060	285	24	17	17	CD
10060	285	25	,	,	,
10060	285	26	no	no	UH
10060	285	27	.	.	.
10060	286	1	1	1	CD
10060	286	2	(	(	-LRB-
10060	286	3	2016	2016	CD
10060	286	4	)	)	-RRB-
10060	286	5	:	:	:
10060	286	6	29–42	29–42	CD
10060	286	7	,	,	,
10060	286	8	https://doi.org/10.1007/s10799-015-0218-4	https://doi.org/10.1007/s10799-015-0218-4	NNS
10060	286	9	.	.	.
10060	287	1	4	4	CD
10060	287	2	Dandan	Dandan	NNP
10060	287	3	Ma	Ma	NNP
10060	287	4	,	,	,
10060	287	5	Liren	Liren	NNP
10060	287	6	Gan	Gan	NNP
10060	287	7	,	,	,
10060	287	8	and	and	CC
10060	287	9	Yonghua	Yonghua	NNP
10060	287	10	Cen	Cen	NNP
10060	287	11	,	,	,
10060	287	12	“	"	``
10060	287	13	Research	Research	NNP
10060	287	14	on	on	IN
10060	287	15	Influence	Influence	NNP
10060	287	16	of	of	IN
10060	287	17	Individual	Individual	NNP
10060	287	18	Cognitive	Cognitive	NNP
10060	287	19	Preferences	Preferences	NNPS
10060	287	20	upon	upon	IN
10060	287	21	Their	-PRON-	PRP$
10060	287	22	Acceptance	acceptance	NN
10060	287	23	for	for	IN
10060	287	24	Knowledge	Knowledge	NNP
10060	287	25	Classification	Classification	NNP
10060	287	26	Recommendation	Recommendation	NNP
10060	287	27	Service	Service	NNP
10060	287	28	,	,	,
10060	287	29	”	"	''
10060	287	30	Journal	Journal	NNP
10060	287	31	of	of	IN
10060	287	32	the	the	DT
10060	287	33	China	China	NNP
10060	287	34	Society	Society	NNP
10060	287	35	for	for	IN
10060	287	36	Scientific	Scientific	NNP
10060	287	37	and	and	CC
10060	287	38	Technical	Technical	NNP
10060	287	39	Information	Information	NNP
10060	287	40	33	33	CD
10060	287	41	,	,	,
10060	287	42	no	no	UH
10060	287	43	.	.	.
10060	288	1	7	7	CD
10060	288	2	(	(	-LRB-
10060	288	3	2014	2014	CD
10060	288	4	)	)	-RRB-
10060	288	5	:	:	:
10060	288	6	712–29	712–29	CD
10060	288	7	.	.	.
10060	289	1	5	5	CD
10060	289	2	Haiqun	Haiqun	NNP
10060	289	3	Ma	Ma	NNP
10060	289	4	and	and	CC
10060	289	5	Zhihe	Zhihe	NNP
10060	289	6	Yang	Yang	NNP
10060	289	7	,	,	,
10060	289	8	“	"	``
10060	289	9	Study	study	VB
10060	289	10	on	on	IN
10060	289	11	the	the	DT
10060	289	12	Cognitive	Cognitive	NNP
10060	289	13	Model	Model	NNP
10060	289	14	of	of	IN
10060	289	15	Information	Information	NNP
10060	289	16	Searchers	Searchers	NNPS
10060	289	17	from	from	IN
10060	289	18	the	the	DT
10060	289	19	Perspective	Perspective	NNP
10060	289	20	of	of	IN
10060	289	21	Neuro	Neuro	NNP
10060	289	22	-	-	HYPH
10060	289	23	Language	Language	NNP
10060	289	24	Programming	Programming	NNP
10060	289	25	,	,	,
10060	289	26	”	"	''
10060	289	27	Journal	Journal	NNP
10060	289	28	of	of	IN
10060	289	29	Library	Library	NNP
10060	289	30	Science	Science	NNP
10060	289	31	in	in	IN
10060	289	32	China	China	NNP
10060	289	33	37	37	CD
10060	289	34	,	,	,
10060	289	35	no	no	UH
10060	289	36	.	.	.
10060	290	1	3	3	CD
10060	290	2	(	(	-LRB-
10060	290	3	2011	2011	CD
10060	290	4	)	)	-RRB-
10060	290	5	:	:	:
10060	290	6	38–47	38–47	CD
10060	290	7	.	.	.
10060	291	1	6	6	CD
10060	291	2	Paul	Paul	NNP
10060	291	3	Gooding	Gooding	NNP
10060	291	4	,	,	,
10060	291	5	“	"	``
10060	291	6	Exploring	explore	VBG
10060	291	7	the	the	DT
10060	291	8	Information	Information	NNP
10060	291	9	Behaviour	Behaviour	NNP
10060	291	10	of	of	IN
10060	291	11	Users	Users	NNPS
10060	291	12	of	of	IN
10060	291	13	Welsh	Welsh	NNP
10060	291	14	Newspapers	Newspapers	NNPS
10060	291	15	Online	Online	NNP
10060	291	16	through	through	IN
10060	291	17	Web	Web	NNP
10060	291	18	Log	Log	NNP
10060	291	19	Analysis	Analysis	NNP
10060	291	20	,	,	,
10060	291	21	”	"	''
10060	291	22	Journal	Journal	NNP
10060	291	23	of	of	IN
10060	291	24	Documentation	Documentation	NNP
10060	291	25	72	72	CD
10060	291	26	,	,	,
10060	291	27	no	no	UH
10060	291	28	.	.	.
10060	292	1	2	2	CD
10060	292	2	(	(	-LRB-
10060	292	3	2016	2016	CD
10060	292	4	)	)	-RRB-
10060	292	5	:	:	:
10060	292	6	232–46	232–46	CD
10060	292	7	.	.	.
10060	293	1	https://doi.org/10.1108/JD-10-2014-0149	https://doi.org/10.1108/JD-10-2014-0149	NNP
10060	293	2	.	.	.
10060	294	1	7	7	CD
10060	294	2	Munmun	Munmun	NNP
10060	294	3	De	De	NNP
10060	294	4	Choudhury	Choudhury	NNP
10060	294	5	and	and	CC
10060	294	6	Scott	Scott	NNP
10060	294	7	Counts	Counts	NNP
10060	294	8	,	,	,
10060	294	9	“	"	``
10060	294	10	Identifying	identify	VBG
10060	294	11	Relevant	relevant	JJ
10060	294	12	Social	Social	NNP
10060	294	13	Media	Media	NNP
10060	294	14	Content	content	NN
10060	294	15	 	 	_SP
10060	294	16	:	:	:
10060	294	17	Leveraging	leverage	VBG
10060	294	18	Information	information	NN
10060	294	19	Diversity	Diversity	NNP
10060	294	20	and	and	CC
10060	294	21	User	User	NNP
10060	294	22	Cognition	Cognition	NNP
10060	294	23	,	,	,
10060	294	24	”	"	''
10060	294	25	in	in	IN
10060	294	26	’	'	''
10060	294	27	HT11	HT11	NNP
10060	294	28	Proceedings	Proceedings	NNPS
10060	294	29	of	of	IN
10060	294	30	the	the	DT
10060	294	31	22nd	22nd	JJ
10060	294	32	ACM	ACM	NNP
10060	294	33	Conference	Conference	NNP
10060	294	34	on	on	IN
10060	294	35	Hypertext	Hypertext	NNP
10060	294	36	and	and	CC
10060	294	37	Hypermedia	Hypermedia	NNP
10060	294	38	(	(	-LRB-
10060	294	39	New	New	NNP
10060	294	40	York	York	NNP
10060	294	41	:	:	:
10060	294	42	ACM	ACM	NNP
10060	294	43	,	,	,
10060	294	44	2011	2011	CD
10060	294	45	)	)	-RRB-
10060	294	46	,	,	,
10060	294	47	161–70	161–70	CD
10060	294	48	,	,	,
10060	294	49	https://doi.org/10.1145/1995966.1995990	https://doi.org/10.1145/1995966.1995990	ADD
10060	294	50	;	;	:
10060	294	51	Carol	Carol	NNP
10060	294	52	Tenopir	Tenopir	NNP
10060	294	53	et	et	NNP
10060	294	54	al	al	NNP
10060	294	55	.	.	NNP
10060	294	56	,	,	,
10060	294	57	“	"	``
10060	294	58	Academic	Academic	NNP
10060	294	59	Users	Users	NNPS
10060	294	60	’	’	POS
10060	294	61	Interactions	Interactions	NNPS
10060	294	62	with	with	IN
10060	294	63	ScienceDirect	ScienceDirect	NNP
10060	294	64	in	in	IN
10060	294	65	Search	Search	NNP
10060	294	66	Tasks	Tasks	NNPS
10060	294	67	:	:	:
10060	294	68	Affective	affective	JJ
10060	294	69	and	and	CC
10060	294	70	Cognitive	Cognitive	NNP
10060	294	71	Behaviors	Behaviors	NNPS
10060	294	72	,	,	,
10060	294	73	”	"	''
10060	294	74	Information	Information	NNP
10060	294	75	Processing	Processing	NNP
10060	294	76	and	and	CC
10060	294	77	Management	Management	NNP
10060	294	78	44	44	CD
10060	294	79	,	,	,
10060	294	80	no	no	UH
10060	294	81	.	.	.
10060	295	1	1	1	CD
10060	295	2	(	(	-LRB-
10060	295	3	2008	2008	CD
10060	295	4	)	)	-RRB-
10060	295	5	:	:	:
10060	295	6	105–21	105–21	CD
10060	295	7	,	,	,
10060	295	8	https://doi.org/10.1016/j.ipm.2006.10.007	https://doi.org/10.1016/j.ipm.2006.10.007	CD
10060	295	9	.	.	.
10060	296	1	https://doi.org/10.1016/j.ipm.2015.05.004	https://doi.org/10.1016/j.ipm.2015.05.004	NNP
10060	296	2	https://doi.org/10.1007/s10799-015-0218-4	https://doi.org/10.1007/s10799-015-0218-4	NNP
10060	296	3	https://doi.org/10.1145/1995966.1995990	https://doi.org/10.1145/1995966.1995990	ADD
10060	296	4	https://doi.org/10.1016/j.ipm.2006.10.007	https://doi.org/10.1016/j.ipm.2006.10.007	NN
10060	296	5	OF	of	IN
10060	296	6	THE	the	DT
10060	296	7	PEOPLE	PEOPLE	NNS
10060	296	8	,	,	,
10060	296	9	FOR	for	IN
10060	296	10	THE	the	DT
10060	296	11	PEOPLE	PEOPLE	NNPS
10060	296	12	|	|	NNP
10060	296	13	LOU	LOU	NNP
10060	296	14	,	,	,
10060	296	15	WANG	WANG	NNP
10060	296	16	,	,	,
10060	296	17	AND	and	CC
10060	296	18	HE	he	PRP
10060	296	19	81	81	CD
10060	296	20	https://doi.org/10.6017/ital.v37i3.10060	https://doi.org/10.6017/ital.v37i3.10060	NN
10060	296	21	8	8	CD
10060	296	22	Young	Young	NNP
10060	296	23	Han	Han	NNP
10060	296	24	Bae	Bae	NNP
10060	296	25	,	,	,
10060	296	26	Jong	Jong	NNP
10060	296	27	Woo	Woo	NNP
10060	296	28	Jun	Jun	NNP
10060	296	29	,	,	,
10060	296	30	and	and	CC
10060	296	31	Michelle	Michelle	NNP
10060	296	32	Hough	Hough	NNP
10060	296	33	,	,	,
10060	296	34	“	"	``
10060	296	35	Uses	Uses	NNPS
10060	296	36	and	and	CC
10060	296	37	Gratifications	Gratifications	NNPS
10060	296	38	of	of	IN
10060	296	39	Digital	Digital	NNP
10060	296	40	Signage	Signage	NNP
10060	296	41	and	and	CC
10060	296	42	Relationships	Relationships	NNPS
10060	296	43	with	with	IN
10060	296	44	User	User	NNP
10060	296	45	Interface	Interface	NNP
10060	296	46	,	,	,
10060	296	47	”	"	''
10060	296	48	Journal	Journal	NNP
10060	296	49	of	of	IN
10060	296	50	International	International	NNP
10060	296	51	Consumer	Consumer	NNP
10060	296	52	Marketing	Marketing	NNP
10060	296	53	28	28	CD
10060	296	54	,	,	,
10060	296	55	no	no	UH
10060	296	56	.	.	.
10060	297	1	5	5	CD
10060	297	2	(	(	-LRB-
10060	297	3	2016	2016	CD
10060	297	4	)	)	-RRB-
10060	297	5	:	:	:
10060	297	6	323–31	323–31	CD
10060	297	7	,	,	,
10060	297	8	https://doi.org/10.1080/08961530.2016.1189372	https://doi.org/10.1080/08961530.2016.1189372	NNP
10060	297	9	.	.	.
10060	298	1	9	9	CD
10060	298	2	Claude	Claude	NNP
10060	298	3	Sicotte	Sicotte	NNP
10060	298	4	et	et	NNP
10060	298	5	al	al	NNP
10060	298	6	.	.	NNP
10060	298	7	,	,	,
10060	298	8	“	"	``
10060	298	9	Analysing	analyse	VBG
10060	298	10	User	User	NNP
10060	298	11	Satisfaction	satisfaction	NN
10060	298	12	with	with	IN
10060	298	13	the	the	DT
10060	298	14	System	System	NNP
10060	298	15	in	in	IN
10060	298	16	Use	Use	NNP
10060	298	17	Prior	Prior	NNP
10060	298	18	to	to	IN
10060	298	19	the	the	DT
10060	298	20	Implementation	implementation	NN
10060	298	21	of	of	IN
10060	298	22	a	a	DT
10060	298	23	New	New	NNP
10060	298	24	Electronic	Electronic	NNP
10060	298	25	Inpatient	Inpatient	NNP
10060	298	26	Record	Record	NNP
10060	298	27	,	,	,
10060	298	28	”	"	''
10060	298	29	in	in	IN
10060	298	30	Proceedings	Proceedings	NNP
10060	298	31	of	of	IN
10060	298	32	the	the	DT
10060	298	33	12th	12th	JJ
10060	298	34	World	World	NNP
10060	298	35	Congress	Congress	NNP
10060	298	36	on	on	IN
10060	298	37	Health	Health	NNP
10060	298	38	(	(	-LRB-
10060	298	39	Medical	Medical	NNP
10060	298	40	)	)	-RRB-
10060	298	41	Informatics	Informatics	NNP
10060	298	42	;	;	:
10060	298	43	Building	Building	NNP
10060	298	44	Sustainable	Sustainable	NNP
10060	298	45	Health	Health	NNP
10060	298	46	Systems	Systems	NNPS
10060	298	47	(	(	-LRB-
10060	298	48	Amsterdam	Amsterdam	NNP
10060	298	49	:	:	:
10060	298	50	IOS	IOS	NNP
10060	298	51	Press	Press	NNP
10060	298	52	,	,	,
10060	298	53	2007	2007	CD
10060	298	54	)	)	-RRB-
10060	298	55	,	,	,
10060	298	56	1779	1779	CD
10060	298	57	-	-	SYM
10060	298	58	1784	1784	CD
10060	298	59	;	;	:
10060	298	60	Zhenzheng	Zhenzheng	NNP
10060	298	61	Qian	Qian	NNP
10060	298	62	et	et	FW
10060	298	63	al	al	NNP
10060	298	64	.	.	NNP
10060	298	65	,	,	,
10060	298	66	“	"	``
10060	298	67	SatiIndicator	SatiIndicator	NNP
10060	298	68	:	:	:
10060	298	69	Leveraging	leverage	VBG
10060	298	70	User	User	NNP
10060	298	71	Reviews	Reviews	NNP
10060	298	72	to	to	TO
10060	298	73	Evaluate	evaluate	VB
10060	298	74	User	User	NNP
10060	298	75	Satisfaction	Satisfaction	NNP
10060	298	76	of	of	IN
10060	298	77	SourceForge	SourceForge	NNP
10060	298	78	Projects	Projects	NNPS
10060	298	79	,	,	,
10060	298	80	”	"	''
10060	298	81	in	in	IN
10060	298	82	Proceedings	Proceedings	NNP
10060	298	83	—	—	:
10060	298	84	International	International	NNP
10060	298	85	Computer	Computer	NNP
10060	298	86	Software	Software	NNP
10060	298	87	and	and	CC
10060	298	88	Applications	Applications	NNPS
10060	298	89	Conference	Conference	NNP
10060	298	90	1	1	CD
10060	298	91	(	(	-LRB-
10060	298	92	2016):93–102	2016):93–102	CD
10060	298	93	,	,	,
10060	298	94	https://doi.org/10.1109/COMPSAC.2016.183	https://doi.org/10.1109/COMPSAC.2016.183	NNP
10060	298	95	.	.	.
10060	299	1	10	10	CD
10060	299	2	Christina	Christina	NNP
10060	299	3	Merten	Merten	NNP
10060	299	4	and	and	CC
10060	299	5	Cristina	Cristina	NNP
10060	299	6	Conati	Conati	NNP
10060	299	7	,	,	,
10060	299	8	“	"	``
10060	299	9	Eye	eye	NN
10060	299	10	-	-	HYPH
10060	299	11	Tracking	Tracking	NNP
10060	299	12	to	to	IN
10060	299	13	Model	Model	NNP
10060	299	14	and	and	CC
10060	299	15	Adapt	Adapt	NNP
10060	299	16	to	to	IN
10060	299	17	User	User	NNP
10060	299	18	Meta	Meta	NNP
10060	299	19	-	-	HYPH
10060	299	20	Cognition	Cognition	NNP
10060	299	21	in	in	IN
10060	299	22	Intelligent	Intelligent	NNP
10060	299	23	Learning	Learning	NNP
10060	299	24	Environments	environment	NNS
10060	299	25	,	,	,
10060	299	26	”	"	''
10060	299	27	in	in	IN
10060	299	28	Proceedings	Proceedings	NNP
10060	299	29	of	of	IN
10060	299	30	the	the	DT
10060	299	31	11th	11th	JJ
10060	299	32	International	International	NNP
10060	299	33	Conference	Conference	NNP
10060	299	34	on	on	IN
10060	299	35	Intelligent	Intelligent	NNP
10060	299	36	User	User	NNP
10060	299	37	Interfaces	Interfaces	NNPS
10060	299	38	—	—	:
10060	299	39	IUI	IUI	NNP
10060	299	40	’	'	''
10060	299	41	06	06	CD
10060	299	42	(	(	-LRB-
10060	299	43	New	New	NNP
10060	299	44	York	York	NNP
10060	299	45	:	:	:
10060	299	46	ACM	ACM	NNP
10060	299	47	,	,	,
10060	299	48	2006	2006	CD
10060	299	49	)	)	-RRB-
10060	299	50	,	,	,
10060	299	51	39–46	39–46	NN
10060	299	52	,	,	,
10060	299	53	https://doi.org/10.1145/1111449.1111465	https://doi.org/10.1145/1111449.1111465	ADD
10060	299	54	;	;	:
10060	299	55	Weidong	Weidong	NNP
10060	299	56	Zhao	Zhao	NNP
10060	299	57	,	,	,
10060	299	58	Ran	Ran	NNP
10060	299	59	Wu	Wu	NNP
10060	299	60	,	,	,
10060	299	61	and	and	CC
10060	299	62	Haitao	Haitao	NNP
10060	299	63	Liu	Liu	NNP
10060	299	64	,	,	,
10060	299	65	“	"	``
10060	299	66	Paper	Paper	NNP
10060	299	67	Recommendation	recommendation	NN
10060	299	68	Based	base	VBN
10060	299	69	on	on	IN
10060	299	70	the	the	DT
10060	299	71	Knowledge	Knowledge	NNP
10060	299	72	Gap	Gap	NNP
10060	299	73	between	between	IN
10060	299	74	a	a	DT
10060	299	75	Researcher	researcher	NN
10060	299	76	’s	’s	POS
10060	299	77	Background	Background	NNP
10060	299	78	Knowledge	Knowledge	NNP
10060	299	79	and	and	CC
10060	299	80	Research	Research	NNP
10060	299	81	Target	Target	NNP
10060	299	82	,	,	,
10060	299	83	”	"	''
10060	299	84	Information	Information	NNP
10060	299	85	Processing	Processing	NNP
10060	299	86	&	&	CC
10060	299	87	Management	Management	NNP
10060	299	88	52	52	CD
10060	299	89	,	,	,
10060	299	90	no	no	UH
10060	299	91	.	.	.
10060	300	1	5	5	CD
10060	300	2	(	(	-LRB-
10060	300	3	2016	2016	CD
10060	300	4	)	)	-RRB-
10060	300	5	:	:	:
10060	300	6	976–88	976–88	CD
10060	300	7	,	,	,
10060	300	8	https://doi.org/10.1016/j.ipm.2016.04.004	https://doi.org/10.1016/j.ipm.2016.04.004	CD
10060	300	9	.	.	.
10060	301	1	11	11	CD
10060	301	2	Haoran	Haoran	NNP
10060	301	3	Xie	Xie	NNP
10060	301	4	et	et	NNP
10060	301	5	al	al	NNP
10060	301	6	.	.	NNP
10060	301	7	,	,	,
10060	301	8	“	"	``
10060	301	9	Incorporating	Incorporating	NNP
10060	301	10	Sentiment	Sentiment	NNP
10060	301	11	into	into	IN
10060	301	12	Tag	Tag	NNP
10060	301	13	-	-	HYPH
10060	301	14	Based	base	VBN
10060	301	15	User	User	NNP
10060	301	16	Profiles	Profiles	NNP
10060	301	17	and	and	CC
10060	301	18	Resource	Resource	NNP
10060	301	19	Profiles	Profiles	NNPS
10060	301	20	for	for	IN
10060	301	21	Personalized	Personalized	NNP
10060	301	22	Search	Search	NNP
10060	301	23	in	in	IN
10060	301	24	Folksonomy	Folksonomy	NNP
10060	301	25	,	,	,
10060	301	26	”	"	''
10060	301	27	Information	Information	NNP
10060	301	28	Processing	Processing	NNP
10060	301	29	and	and	CC
10060	301	30	Management	Management	NNP
10060	301	31	52	52	CD
10060	301	32	,	,	,
10060	301	33	no	no	UH
10060	301	34	.	.	.
10060	302	1	1	1	CD
10060	302	2	(	(	-LRB-
10060	302	3	2016	2016	CD
10060	302	4	)	)	-RRB-
10060	302	5	:	:	:
10060	302	6	61–72	61–72	CD
10060	302	7	,	,	,
10060	302	8	https://doi.org/10.1016/j.ipm.2015.03.001	https://doi.org/10.1016/j.ipm.2015.03.001	CD
10060	302	9	;	;	:
10060	302	10	Francisco	Francisco	NNP
10060	302	11	Villarroel	Villarroel	NNP
10060	302	12	Ordenes	Ordenes	NNP
10060	302	13	et	et	NNP
10060	302	14	al	al	NNP
10060	302	15	.	.	NNP
10060	302	16	,	,	,
10060	302	17	“	"	``
10060	302	18	Analyzing	Analyzing	NNP
10060	302	19	Customer	Customer	NNP
10060	302	20	Experience	Experience	NNP
10060	302	21	Feedback	feedback	NN
10060	302	22	Using	Using	NNP
10060	302	23	Text	Text	NNP
10060	302	24	Mining	Mining	NNP
10060	302	25	:	:	:
10060	302	26	A	a	DT
10060	302	27	Linguistics	Linguistics	NNP
10060	302	28	-	-	HYPH
10060	302	29	Based	base	VBN
10060	302	30	Approach	Approach	NNP
10060	302	31	,	,	,
10060	302	32	”	"	''
10060	302	33	Journal	Journal	NNP
10060	302	34	of	of	IN
10060	302	35	Service	Service	NNP
10060	302	36	Research	Research	NNP
10060	302	37	17	17	CD
10060	302	38	,	,	,
10060	302	39	no	no	UH
10060	302	40	.	.	.
10060	303	1	3	3	CD
10060	303	2	(	(	-LRB-
10060	303	3	2014	2014	CD
10060	303	4	)	)	-RRB-
10060	303	5	:	:	:
10060	303	6	278–95	278–95	CD
10060	303	7	,	,	,
10060	303	8	https://doi.org/10.1177/1094670514524625	https://doi.org/10.1177/1094670514524625	NN
10060	303	9	;	;	:
10060	303	10	Yujong	Yujong	NNP
10060	303	11	Hwang	Hwang	NNP
10060	303	12	and	and	CC
10060	303	13	Jaeseok	Jaeseok	NNP
10060	303	14	Jeong	Jeong	NNP
10060	303	15	,	,	,
10060	303	16	“	"	``
10060	303	17	Electronic	Electronic	NNP
10060	303	18	Commerce	Commerce	NNP
10060	303	19	and	and	CC
10060	303	20	Online	Online	NNP
10060	303	21	Consumer	Consumer	NNP
10060	303	22	Behavior	Behavior	NNP
10060	303	23	Research	Research	NNP
10060	303	24	:	:	:
10060	303	25	A	A	NNP
10060	303	26	Literature	Literature	NNP
10060	303	27	Review	Review	NNP
10060	303	28	,	,	,
10060	303	29	”	"	''
10060	303	30	Information	Information	NNP
10060	303	31	Development	Development	NNP
10060	303	32	32	32	CD
10060	303	33	,	,	,
10060	303	34	no	no	UH
10060	303	35	.	.	.
10060	304	1	3	3	CD
10060	304	2	(	(	-LRB-
10060	304	3	2016	2016	CD
10060	304	4	)	)	-RRB-
10060	304	5	:	:	:
10060	304	6	377–88	377–88	CD
10060	304	7	,	,	,
10060	304	8	https://doi.org/10.1177/0266666914551071	https://doi.org/10.1177/0266666914551071	ADD
10060	304	9	.	.	.
10060	305	1	12	12	CD
10060	305	2	Stephan	Stephan	NNP
10060	305	3	Ludwig	Ludwig	NNP
10060	305	4	et	et	FW
10060	305	5	al	al	NNP
10060	305	6	.	.	NNP
10060	305	7	,	,	,
10060	305	8	“	"	``
10060	305	9	More	More	JJR
10060	305	10	Than	than	IN
10060	305	11	Words	word	NNS
10060	305	12	:	:	:
10060	305	13	The	the	DT
10060	305	14	Influence	Influence	NNP
10060	305	15	of	of	IN
10060	305	16	Affective	Affective	NNP
10060	305	17	Content	Content	NNP
10060	305	18	and	and	CC
10060	305	19	Linguistic	Linguistic	NNP
10060	305	20	Style	Style	NNP
10060	305	21	Matches	Matches	NNPS
10060	305	22	in	in	IN
10060	305	23	Online	Online	NNP
10060	305	24	Reviews	Reviews	NNP
10060	305	25	on	on	IN
10060	305	26	Conversion	Conversion	NNP
10060	305	27	Rates	Rates	NNP
10060	305	28	,	,	,
10060	305	29	”	"	''
10060	305	30	Journal	Journal	NNP
10060	305	31	of	of	IN
10060	305	32	Marketing	Marketing	NNP
10060	305	33	77	77	CD
10060	305	34	,	,	,
10060	305	35	no	no	UH
10060	305	36	.	.	.
10060	306	1	1	1	CD
10060	306	2	(	(	-LRB-
10060	306	3	2012	2012	CD
10060	306	4	)	)	-RRB-
10060	306	5	:	:	:
10060	306	6	1–52	1–52	LS
10060	306	7	,	,	,
10060	306	8	https://doi.org/10.1509/jm.11.0560	https://doi.org/10.1509/jm.11.0560	ADD
10060	306	9	.	.	.
10060	307	1	13	13	CD
10060	307	2	Jun	Jun	NNP
10060	307	3	Yang	Yang	NNP
10060	307	4	and	and	CC
10060	307	5	Yinglong	Yinglong	NNP
10060	307	6	Wang	Wang	NNP
10060	307	7	,	,	,
10060	307	8	“	"	``
10060	307	9	A	a	DT
10060	307	10	New	New	NNP
10060	307	11	Framework	framework	NN
10060	307	12	Based	base	VBN
10060	307	13	on	on	IN
10060	307	14	Cognitive	Cognitive	NNP
10060	307	15	Psychology	Psychology	NNP
10060	307	16	for	for	IN
10060	307	17	Knowledge	Knowledge	NNP
10060	307	18	Discovery	Discovery	NNP
10060	307	19	,	,	,
10060	307	20	”	"	''
10060	307	21	Journal	Journal	NNP
10060	307	22	of	of	IN
10060	307	23	Software	Software	NNP
10060	307	24	8	8	CD
10060	307	25	,	,	,
10060	307	26	no	no	UH
10060	307	27	.	.	.
10060	308	1	1	1	CD
10060	308	2	(	(	-LRB-
10060	308	3	2013	2013	CD
10060	308	4	)	)	-RRB-
10060	308	5	:	:	:
10060	308	6	47–54	47–54	LS
10060	308	7	.	.	.
10060	309	1	14	14	CD
10060	309	2	Alan	Alan	NNP
10060	309	3	Baddeley	Baddeley	NNP
10060	309	4	,	,	,
10060	309	5	“	"	``
10060	309	6	On	on	IN
10060	309	7	Applying	Applying	NNP
10060	309	8	Cognitive	Cognitive	NNP
10060	309	9	Psychology	Psychology	NNP
10060	309	10	,	,	,
10060	309	11	”	"	''
10060	309	12	British	British	NNP
10060	309	13	Journal	Journal	NNP
10060	309	14	of	of	IN
10060	309	15	Psychology	Psychology	NNP
10060	309	16	104	104	CD
10060	309	17	,	,	,
10060	309	18	no	no	UH
10060	309	19	.	.	.
10060	310	1	4	4	CD
10060	310	2	(	(	-LRB-
10060	310	3	2013	2013	CD
10060	310	4	)	)	-RRB-
10060	310	5	:	:	:
10060	310	6	443–56	443–56	CD
10060	310	7	,	,	,
10060	310	8	https://doi.org/10.1111/bjop.12049	https://doi.org/10.1111/bjop.12049	NNP
10060	310	9	.	.	.
10060	311	1	15	15	CD
10060	311	2	Aidan	Aidan	NNP
10060	311	3	Moran	Moran	NNP
10060	311	4	,	,	,
10060	311	5	“	"	``
10060	311	6	Cognitive	Cognitive	NNP
10060	311	7	Psychology	Psychology	NNP
10060	311	8	in	in	IN
10060	311	9	Sport	Sport	NNP
10060	311	10	:	:	:
10060	311	11	Progress	Progress	NNP
10060	311	12	and	and	CC
10060	311	13	Prospects	Prospects	NNPS
10060	311	14	,	,	,
10060	311	15	”	"	''
10060	311	16	Psychology	Psychology	NNP
10060	311	17	of	of	IN
10060	311	18	Sport	Sport	NNP
10060	311	19	and	and	CC
10060	311	20	Exercise	Exercise	NNP
10060	311	21	10	10	CD
10060	311	22	,	,	,
10060	311	23	no	no	UH
10060	311	24	.	.	.
10060	312	1	4	4	CD
10060	312	2	(	(	-LRB-
10060	312	3	2009	2009	CD
10060	312	4	)	)	-RRB-
10060	312	5	:	:	:
10060	312	6	420–26	420–26	CD
10060	312	7	,	,	,
10060	312	8	https://doi.org/10.1016/j.psychsport.2009.02.010	https://doi.org/10.1016/j.psychsport.2009.02.010	ADD
10060	312	9	.	.	.
10060	313	1	16	16	CD
10060	313	2	John	John	NNP
10060	313	3	Van	Van	NNP
10060	313	4	De	De	NNP
10060	313	5	Pas	Pas	NNP
10060	313	6	,	,	,
10060	313	7	“	"	``
10060	313	8	A	a	DT
10060	313	9	Framework	Framework	NNP
10060	313	10	for	for	IN
10060	313	11	Public	Public	NNP
10060	313	12	Information	Information	NNP
10060	313	13	Services	Services	NNPS
10060	313	14	in	in	IN
10060	313	15	the	the	DT
10060	313	16	Twenty	Twenty	NNP
10060	313	17	-	-	HYPH
10060	313	18	First	First	NNP
10060	313	19	Century	Century	NNP
10060	313	20	,	,	,
10060	313	21	”	"	''
10060	313	22	New	New	NNP
10060	313	23	Library	Library	NNP
10060	313	24	World	World	NNP
10060	313	25	114	114	CD
10060	313	26	,	,	,
10060	313	27	no	no	UH
10060	313	28	.	.	.
10060	314	1	1/2	1/2	CD
10060	314	2	(	(	-LRB-
10060	314	3	2013	2013	CD
10060	314	4	)	)	-RRB-
10060	314	5	:	:	:
10060	314	6	67–79	67–79	LS
10060	314	7	,	,	,
10060	314	8	https://doi.org/10.1108/03074801311291974	https://doi.org/10.1108/03074801311291974	NNP
10060	314	9	.	.	.
10060	315	1	17	17	CD
10060	315	2	Enrique	Enrique	NNP
10060	315	3	Frias	Frias	NNP
10060	315	4	-	-	HYPH
10060	315	5	Martinez	Martinez	NNP
10060	315	6	,	,	,
10060	315	7	Sherry	Sherry	NNP
10060	315	8	Y.	Y.	NNP
10060	315	9	Chen	Chen	NNP
10060	315	10	,	,	,
10060	315	11	and	and	CC
10060	315	12	Xiaohui	Xiaohui	NNP
10060	315	13	Liu	Liu	NNP
10060	315	14	,	,	,
10060	315	15	“	"	``
10060	315	16	Evaluation	evaluation	NN
10060	315	17	of	of	IN
10060	315	18	a	a	DT
10060	315	19	Personalized	Personalized	NNP
10060	315	20	Digital	Digital	NNP
10060	315	21	Library	Library	NNP
10060	315	22	Based	base	VBN
10060	315	23	on	on	IN
10060	315	24	Cognitive	Cognitive	NNP
10060	315	25	Styles	Styles	NNPS
10060	315	26	:	:	:
10060	315	27	Adaptivity	Adaptivity	NNP
10060	315	28	vs.	vs.	IN
10060	315	29	Adaptability	Adaptability	NNP
10060	315	30	,	,	,
10060	315	31	”	"	''
10060	315	32	International	International	NNP
10060	315	33	Journal	Journal	NNP
10060	315	34	of	of	IN
10060	315	35	https://doi.org/10.1080/08961530.2016.1189372	https://doi.org/10.1080/08961530.2016.1189372	NNP
10060	315	36	https://doi.org/10.1109/COMPSAC.2016.183	https://doi.org/10.1109/COMPSAC.2016.183	NNP
10060	315	37	https://doi.org/10.1145/1111449.1111465	https://doi.org/10.1145/1111449.1111465	ADD
10060	315	38	https://doi.org/10.1016/j.ipm.2016.04.004	https://doi.org/10.1016/j.ipm.2016.04.004	NNP
10060	315	39	https://doi.org/10.1016/j.ipm.2015.03.001	https://doi.org/10.1016/j.ipm.2015.03.001	NN
10060	315	40	https://doi.org/10.1177/1094670514524625	https://doi.org/10.1177/1094670514524625	NN
10060	315	41	https://doi.org/10.1177/0266666914551071	https://doi.org/10.1177/0266666914551071	NN
10060	315	42	https://doi.org/10.1509/jm.11.0560	https://doi.org/10.1509/jm.11.0560	.
10060	315	43	https://doi.org/10.1111/bjop.12049	https://doi.org/10.1111/bjop.12049	NNP
10060	315	44	https://doi.org/10.1016/j.psychsport.2009.02.010	https://doi.org/10.1016/j.psychsport.2009.02.010	XX
10060	315	45	https://doi.org/10.1108/03074801311291974	https://doi.org/10.1108/03074801311291974	NNP
10060	315	46	INFORMATION	INFORMATION	NNP
10060	315	47	TECHNOLOGY	TECHNOLOGY	NNP
10060	315	48	AND	and	CC
10060	315	49	LIBRARIES	LIBRARIES	NNP
10060	315	50	|	|	NNP
10060	315	51	SEPTEMBER	SEPTEMBER	NNP
10060	315	52	2018	2018	CD
10060	315	53	82	82	CD
10060	315	54	Information	Information	NNP
10060	315	55	Management	Management	NNP
10060	315	56	29	29	CD
10060	315	57	,	,	,
10060	315	58	no	no	UH
10060	315	59	.	.	.
10060	316	1	1	1	CD
10060	316	2	(	(	-LRB-
10060	316	3	2009	2009	CD
10060	316	4	)	)	-RRB-
10060	316	5	:	:	:
10060	316	6	48–56	48–56	CD
10060	316	7	,	,	,
10060	316	8	https://doi.org/10.1016/j.ijinfomgt.2008.01.012	https://doi.org/10.1016/j.ijinfomgt.2008.01.012	ADD
10060	316	9	.	.	.
10060	317	1	18	18	CD
10060	317	2	Shing	Shing	NNP
10060	317	3	Lee	Lee	NNP
10060	317	4	Chung	Chung	NNP
10060	317	5	et	et	NNP
10060	317	6	al	al	NNP
10060	317	7	.	.	NNP
10060	317	8	,	,	,
10060	317	9	“	"	``
10060	317	10	An	an	DT
10060	317	11	Integrated	Integrated	NNP
10060	317	12	Framework	Framework	NNP
10060	317	13	for	for	IN
10060	317	14	Managing	manage	VBG
10060	317	15	Knowledge	Knowledge	NNP
10060	317	16	-	-	HYPH
10060	317	17	Intensive	Intensive	NNP
10060	317	18	Service	Service	NNP
10060	317	19	Innovation	Innovation	NNP
10060	317	20	,	,	,
10060	317	21	”	"	''
10060	317	22	International	International	NNP
10060	317	23	Journal	Journal	NNP
10060	317	24	of	of	IN
10060	317	25	Services	Services	NNP
10060	317	26	Technology	Technology	NNP
10060	317	27	and	and	CC
10060	317	28	Management	Management	NNP
10060	317	29	13	13	CD
10060	317	30	,	,	,
10060	317	31	no	no	UH
10060	317	32	.	.	.
10060	318	1	1/2	1/2	CD
10060	318	2	(	(	-LRB-
10060	318	3	2010	2010	CD
10060	318	4	)	)	-RRB-
10060	318	5	:	:	:
10060	318	6	20	20	CD
10060	318	7	,	,	,
10060	318	8	https://doi.org/10.1504/IJSTM.2010.029669	https://doi.org/10.1504/ijstm.2010.029669	UH
10060	318	9	.	.	.
10060	319	1	19	19	CD
10060	319	2	Koteshwar	Koteshwar	NNP
10060	319	3	Chirumalla	Chirumalla	NNP
10060	319	4	,	,	,
10060	319	5	“	"	``
10060	319	6	Managing	manage	VBG
10060	319	7	Knowledge	knowledge	NN
10060	319	8	for	for	IN
10060	319	9	Product	Product	NNP
10060	319	10	-	-	HYPH
10060	319	11	Service	Service	NNP
10060	319	12	System	System	NNP
10060	319	13	Innovation	Innovation	NNP
10060	319	14	:	:	:
10060	319	15	The	the	DT
10060	319	16	Role	Role	NNP
10060	319	17	of	of	IN
10060	319	18	Web	web	NN
10060	319	19	2.0	2.0	CD
10060	319	20	Technologies	Technologies	NNPS
10060	319	21	,	,	,
10060	319	22	”	"	''
10060	319	23	Research	Research	NNP
10060	319	24	-	-	HYPH
10060	319	25	Technology	Technology	NNP
10060	319	26	Management	Management	NNP
10060	319	27	56	56	CD
10060	319	28	,	,	,
10060	319	29	no	no	UH
10060	319	30	.	.	.
10060	320	1	2	2	CD
10060	320	2	(	(	-LRB-
10060	320	3	2013	2013	CD
10060	320	4	)	)	-RRB-
10060	320	5	:	:	:
10060	320	6	45–53	45–53	LS
10060	320	7	,	,	,
10060	320	8	https://doi.org/10.5437/08956308X5602045	https://doi.org/10.5437/08956308x5602045	UH
10060	320	9	;	;	:
10060	320	10	Koteshwar	Koteshwar	NNP
10060	320	11	Chirumalla	Chirumalla	NNP
10060	320	12	et	et	NNP
10060	320	13	al	al	NNP
10060	320	14	.	.	NNP
10060	320	15	,	,	,
10060	320	16	“	"	``
10060	320	17	Knowledge-	Knowledge-	NNP
10060	320	18	Sharing	Sharing	NNP
10060	320	19	Network	Network	NNP
10060	320	20	for	for	IN
10060	320	21	Product	Product	NNP
10060	320	22	-	-	HYPH
10060	320	23	Service	Service	NNP
10060	320	24	System	System	NNP
10060	320	25	Development	development	NN
10060	320	26	:	:	:
10060	320	27	Is	be	VBZ
10060	320	28	It	-PRON-	PRP
10060	320	29	a	a	DT
10060	320	30	Typical	typical	JJ
10060	320	31	?	?	.
10060	320	32	,	,	,
10060	320	33	”	"	''
10060	320	34	in	in	IN
10060	320	35	International	International	NNP
10060	320	36	Conference	Conference	NNP
10060	320	37	on	on	IN
10060	320	38	Industrial	Industrial	NNP
10060	320	39	Product	Product	NNP
10060	320	40	-	-	HYPH
10060	320	41	Service	Service	NNP
10060	320	42	Systems	Systems	NNPS
10060	320	43	(	(	-LRB-
10060	320	44	2013	2013	CD
10060	320	45	)	)	-RRB-
10060	320	46	:	:	:
10060	320	47	109–14	109–14	CD
10060	320	48	;	;	:
10060	320	49	Fumiya	Fumiya	NNP
10060	320	50	Akasaka	Akasaka	NNP
10060	320	51	et	et	NNP
10060	320	52	al	al	NNP
10060	320	53	.	.	NNP
10060	320	54	,	,	,
10060	320	55	“	"	``
10060	320	56	Development	development	NN
10060	320	57	of	of	IN
10060	320	58	a	a	DT
10060	320	59	Knowledge	knowledge	NN
10060	320	60	-	-	HYPH
10060	320	61	Based	base	VBN
10060	320	62	Design	Design	NNP
10060	320	63	Support	Support	NNP
10060	320	64	System	System	NNP
10060	320	65	for	for	IN
10060	320	66	Product	Product	NNP
10060	320	67	-	-	HYPH
10060	320	68	Service	Service	NNP
10060	320	69	Systems	Systems	NNPS
10060	320	70	,	,	,
10060	320	71	”	"	''
10060	320	72	Computers	computer	NNS
10060	320	73	in	in	IN
10060	320	74	Industry	Industry	NNP
10060	320	75	63	63	CD
10060	320	76	,	,	,
10060	320	77	no	no	UH
10060	320	78	.	.	.
10060	321	1	4	4	CD
10060	321	2	(	(	-LRB-
10060	321	3	2012	2012	CD
10060	321	4	)	)	-RRB-
10060	321	5	:	:	:
10060	321	6	309–18	309–18	CD
10060	321	7	,	,	,
10060	321	8	https://doi.org/10.1016/j.compind.2012.02.009	https://doi.org/10.1016/j.compind.2012.02.009	ADD
10060	321	9	.	.	.
10060	322	1	20	20	CD
10060	322	2	C.	C.	NNP
10060	322	3	F.	F.	NNP
10060	322	4	Cheung	Cheung	NNP
10060	322	5	et	et	FW
10060	322	6	al	al	NNP
10060	322	7	.	.	NNP
10060	322	8	,	,	,
10060	322	9	“	"	``
10060	322	10	A	a	DT
10060	322	11	Multi	multi	JJ
10060	322	12	-	-	JJ
10060	322	13	Perspective	perspective	JJ
10060	322	14	Knowledge	Knowledge	NNP
10060	322	15	-	-	HYPH
10060	322	16	Based	base	VBN
10060	322	17	System	System	NNP
10060	322	18	for	for	IN
10060	322	19	Customer	Customer	NNP
10060	322	20	Service	Service	NNP
10060	322	21	Management	Management	NNP
10060	322	22	,	,	,
10060	322	23	”	"	''
10060	322	24	Expert	expert	NN
10060	322	25	Systems	system	NNS
10060	322	26	with	with	IN
10060	322	27	Applications	Applications	NNP
10060	322	28	24	24	CD
10060	322	29	,	,	,
10060	322	30	no	no	UH
10060	322	31	.	.	.
10060	323	1	4	4	CD
10060	323	2	(	(	-LRB-
10060	323	3	2003	2003	CD
10060	323	4	)	)	-RRB-
10060	323	5	:	:	:
10060	323	6	457–70	457–70	CD
10060	323	7	,	,	,
10060	323	8	https://doi.org/10.1016/S0957-4174(02)00193-8	https://doi.org/10.1016/S0957-4174(02)00193-8	NNP
10060	323	9	.	.	.
10060	324	1	21	21	CD
10060	324	2	Padmal	Padmal	NNP
10060	324	3	Vitharana	Vitharana	NNP
10060	324	4	,	,	,
10060	324	5	Hemant	Hemant	NNP
10060	324	6	Jain	Jain	NNP
10060	324	7	,	,	,
10060	324	8	and	and	CC
10060	324	9	Fatemeh	Fatemeh	NNP
10060	324	10	Zahedi	Zahedi	NNP
10060	324	11	,	,	,
10060	324	12	“	"	``
10060	324	13	A	a	DT
10060	324	14	Knowledge	knowledge	NN
10060	324	15	Based	base	VBN
10060	324	16	Component	Component	NNP
10060	324	17	/	/	SYM
10060	324	18	Service	Service	NNP
10060	324	19	Repository	Repository	NNP
10060	324	20	to	to	IN
10060	324	21	Enhance	enhance	VB
10060	324	22	Analysts	analyst	NNS
10060	324	23	’	’	POS
10060	324	24	Domain	domain	NN
10060	324	25	Knowledge	knowledge	NN
10060	324	26	for	for	IN
10060	324	27	Requirements	Requirements	NNP
10060	324	28	Analysis	Analysis	NNP
10060	324	29	,	,	,
10060	324	30	”	"	''
10060	324	31	Information	Information	NNP
10060	324	32	and	and	CC
10060	324	33	Management	Management	NNP
10060	324	34	49	49	CD
10060	324	35	,	,	,
10060	324	36	no	no	UH
10060	324	37	.	.	.
10060	325	1	1	1	CD
10060	325	2	(	(	-LRB-
10060	325	3	2012	2012	CD
10060	325	4	)	)	-RRB-
10060	325	5	:	:	:
10060	325	6	24–35	24–35	CD
10060	325	7	,	,	,
10060	325	8	https://doi.org/10.1016/j.im.2011.12.004	https://doi.org/10.1016/j.im.2011.12.004	NNP
10060	325	9	.	.	.
10060	326	1	22	22	CD
10060	326	2	Baihai	Baihai	NNP
10060	326	3	Zhou	Zhou	NNP
10060	326	4	,	,	,
10060	326	5	“	"	``
10060	326	6	The	the	DT
10060	326	7	Construction	Construction	NNP
10060	326	8	of	of	IN
10060	326	9	Library	Library	NNP
10060	326	10	Interdisciplinary	Interdisciplinary	NNP
10060	326	11	Knowledge	Knowledge	NNP
10060	326	12	Sharing	Sharing	NNP
10060	326	13	Service	Service	NNP
10060	326	14	System	System	NNP
10060	326	15	,	,	,
10060	326	16	”	"	''
10060	326	17	in	in	IN
10060	326	18	2014	2014	CD
10060	326	19	11th	11th	NNP
10060	326	20	International	International	NNP
10060	326	21	Conference	Conference	NNP
10060	326	22	on	on	IN
10060	326	23	Service	Service	NNP
10060	326	24	Systems	Systems	NNPS
10060	326	25	and	and	CC
10060	326	26	Service	Service	NNP
10060	326	27	Management	Management	NNP
10060	326	28	(	(	-LRB-
10060	326	29	ICSSSM	ICSSSM	NNP
10060	326	30	)	)	-RRB-
10060	326	31	,	,	,
10060	326	32	June	June	NNP
10060	326	33	25–27	25–27	CD
10060	326	34	,	,	,
10060	326	35	2014	2014	CD
10060	326	36	,	,	,
10060	326	37	https://doi.org/10.1109/ICSSSM.2014.6874033	https://doi.org/10.1109/ICSSSM.2014.6874033	NNP
10060	326	38	.	.	.
10060	327	1	23	23	CD
10060	327	2	Rusli	Rusli	NNP
10060	327	3	Abdullah	Abdullah	NNP
10060	327	4	,	,	,
10060	327	5	Zeti	Zeti	NNP
10060	327	6	Darleena	Darleena	NNP
10060	327	7	Eri	Eri	NNP
10060	327	8	,	,	,
10060	327	9	and	and	CC
10060	327	10	Amir	Amir	NNP
10060	327	11	Mohamed	Mohamed	NNP
10060	327	12	Talib	Talib	NNP
10060	327	13	,	,	,
10060	327	14	“	"	``
10060	327	15	A	a	DT
10060	327	16	Model	Model	NNP
10060	327	17	of	of	IN
10060	327	18	Knowledge	Knowledge	NNP
10060	327	19	Management	Management	NNP
10060	327	20	System	System	NNP
10060	327	21	for	for	IN
10060	327	22	Facilitating	facilitate	VBG
10060	327	23	Knowledge	Knowledge	NNP
10060	327	24	as	as	IN
10060	327	25	a	a	DT
10060	327	26	Service	Service	NNP
10060	327	27	(	(	-LRB-
10060	327	28	KaaS	KaaS	NNP
10060	327	29	)	)	-RRB-
10060	327	30	in	in	IN
10060	327	31	Cloud	Cloud	NNP
10060	327	32	Computing	Computing	NNP
10060	327	33	Environment	Environment	NNP
10060	327	34	,	,	,
10060	327	35	”	"	''
10060	327	36	2011	2011	CD
10060	327	37	International	International	NNP
10060	327	38	Conference	Conference	NNP
10060	327	39	on	on	IN
10060	327	40	Research	Research	NNP
10060	327	41	and	and	CC
10060	327	42	Innovation	Innovation	NNP
10060	327	43	in	in	IN
10060	327	44	Information	Information	NNP
10060	327	45	Systems	Systems	NNP
10060	327	46	,	,	,
10060	327	47	November	November	NNP
10060	327	48	23–24	23–24	CD
10060	327	49	,	,	,
10060	327	50	2011	2011	CD
10060	327	51	,	,	,
10060	327	52	1–4	1–4	CD
10060	327	53	,	,	,
10060	327	54	https://doi.org/10.1109/ICRIIS.2011.6125691	https://doi.org/10.1109/icriis.2011.6125691	UH
10060	327	55	.	.	.
10060	328	1	24	24	CD
10060	328	2	Alan	Alan	NNP
10060	328	3	Smeaton	Smeaton	NNP
10060	328	4	and	and	CC
10060	328	5	Jamie	Jamie	NNP
10060	328	6	Callan	Callan	NNP
10060	328	7	,	,	,
10060	328	8	“	"	``
10060	328	9	Personalisation	Personalisation	NNP
10060	328	10	and	and	CC
10060	328	11	Recommender	Recommender	NNP
10060	328	12	Systems	Systems	NNPS
10060	328	13	in	in	IN
10060	328	14	Digital	Digital	NNP
10060	328	15	Libraries	Libraries	NNP
10060	328	16	,	,	,
10060	328	17	”	"	''
10060	328	18	International	International	NNP
10060	328	19	Journal	Journal	NNP
10060	328	20	on	on	IN
10060	328	21	Digital	Digital	NNP
10060	328	22	Libraries	Libraries	NNP
10060	328	23	5	5	CD
10060	328	24	,	,	,
10060	328	25	no	no	UH
10060	328	26	.	.	.
10060	329	1	4	4	CD
10060	329	2	(	(	-LRB-
10060	329	3	2005	2005	CD
10060	329	4	)	)	-RRB-
10060	329	5	:	:	:
10060	329	6	299–308	299–308	CD
10060	329	7	,	,	,
10060	329	8	https://doi.org/10.1007/s00799-004-0100-1	https://doi.org/10.1007/s00799-004-0100-1	CD
10060	329	9	.	.	.
10060	330	1	25	25	CD
10060	330	2	Yanwen	Yanwen	NNP
10060	330	3	Wu	Wu	NNP
10060	330	4	et	et	NNP
10060	330	5	al	al	NNP
10060	330	6	.	.	NNP
10060	330	7	,	,	,
10060	330	8	“	"	``
10060	330	9	Research	Research	NNP
10060	330	10	on	on	IN
10060	330	11	Personalized	Personalized	NNP
10060	330	12	Knowledge	Knowledge	NNP
10060	330	13	Service	Service	NNP
10060	330	14	System	System	NNP
10060	330	15	in	in	IN
10060	330	16	Community	Community	NNP
10060	330	17	E-	E-	NNP
10060	330	18	Learning	learning	NN
10060	330	19	,	,	,
10060	330	20	”	"	''
10060	330	21	Lecture	Lecture	NNP
10060	330	22	Notes	Notes	NNPS
10060	330	23	in	in	IN
10060	330	24	Computer	Computer	NNP
10060	330	25	Science	Science	NNP
10060	330	26	(	(	-LRB-
10060	330	27	Berlin	Berlin	NNP
10060	330	28	:	:	:
10060	330	29	Springer	Springer	NNP
10060	330	30	,	,	,
10060	330	31	2006	2006	CD
10060	330	32	)	)	-RRB-
10060	330	33	,	,	,
10060	330	34	https://doi.org/10.1007/11736639_17	https://doi.org/10.1007/11736639_17	NNP
10060	330	35	;	;	:
10060	330	36	Shu	Shu	NNP
10060	330	37	-	-	HYPH
10060	330	38	Chen	Chen	NNP
10060	330	39	Kao	Kao	NNP
10060	330	40	and	and	CC
10060	330	41	ChienHsing	ChienHsing	NNP
10060	330	42	Wu	Wu	NNP
10060	330	43	,	,	,
10060	330	44	“	"	``
10060	330	45	PIKIPDL	PIKIPDL	NNP
10060	330	46	.	.	.
10060	331	1	A	a	DT
10060	331	2	Personalized	personalized	JJ
10060	331	3	Information	Information	NNP
10060	331	4	and	and	CC
10060	331	5	Knowledge	Knowledge	NNP
10060	331	6	Integration	Integration	NNP
10060	331	7	Platform	Platform	NNP
10060	331	8	for	for	IN
10060	331	9	DL	DL	NNP
10060	331	10	Service	Service	NNP
10060	331	11	,	,	,
10060	331	12	”	"	''
10060	331	13	Library	library	JJ
10060	331	14	Hi	Hi	NNP
10060	331	15	Tech	Tech	NNP
10060	331	16	30	30	CD
10060	331	17	,	,	,
10060	331	18	no	no	UH
10060	331	19	.	.	.
10060	332	1	3	3	CD
10060	332	2	(	(	-LRB-
10060	332	3	2012	2012	CD
10060	332	4	)	)	-RRB-
10060	332	5	:	:	:
10060	332	6	490–512	490–512	CD
10060	332	7	,	,	,
10060	332	8	https://doi.org/10.1108/07378831211266627	https://doi.org/10.1108/07378831211266627	JJ
10060	332	9	.	.	.
10060	333	1	26	26	CD
10060	333	2	National	National	NNP
10060	333	3	Geographic	Geographic	NNP
10060	333	4	,	,	,
10060	333	5	Destinations	Destinations	NNPS
10060	333	6	of	of	IN
10060	333	7	a	a	DT
10060	333	8	Lifetime	lifetime	NN
10060	333	9	:	:	:
10060	333	10	225	225	CD
10060	333	11	of	of	IN
10060	333	12	the	the	DT
10060	333	13	World	World	NNP
10060	333	14	’s	’s	POS
10060	333	15	Most	most	RBS
10060	333	16	Amazing	amazing	JJ
10060	333	17	Places	Places	NNPS
10060	333	18	(	(	-LRB-
10060	333	19	Washington	Washington	NNP
10060	333	20	D.C.	D.C.	NNP
10060	333	21	:	:	:
10060	333	22	National	National	NNP
10060	333	23	Geographic	Geographic	NNP
10060	333	24	Society	Society	NNP
10060	333	25	,	,	,
10060	333	26	2016	2016	CD
10060	333	27	)	)	-RRB-
10060	333	28	.	.	.
10060	334	1	27	27	CD
10060	334	2	Wen	Wen	NNP
10060	334	3	Lou	Lou	NNP
10060	334	4	and	and	CC
10060	334	5	Junping	Junping	NNP
10060	334	6	Qiu	Qiu	NNP
10060	334	7	,	,	,
10060	334	8	“	"	``
10060	334	9	Semantic	Semantic	NNP
10060	334	10	Information	Information	NNP
10060	334	11	Retrieval	Retrieval	NNP
10060	334	12	Research	Research	NNP
10060	334	13	Based	base	VBN
10060	334	14	on	on	IN
10060	334	15	Co	Co	NNP
10060	334	16	-	-	NNP
10060	334	17	Occurrence	Occurrence	NNP
10060	334	18	Analysis	Analysis	NNP
10060	334	19	,	,	,
10060	334	20	”	"	''
10060	334	21	Online	Online	NNP
10060	334	22	Information	Information	NNP
10060	334	23	Review	Review	NNP
10060	334	24	38	38	CD
10060	334	25	,	,	,
10060	334	26	no	no	UH
10060	334	27	.	.	.
10060	335	1	1	1	LS
10060	335	2	(	(	-LRB-
10060	335	3	January	January	NNP
10060	335	4	8	8	CD
10060	335	5	,	,	,
10060	335	6	2014	2014	CD
10060	335	7	)	)	-RRB-
10060	335	8	:	:	:
10060	335	9	4–23	4–23	CD
10060	335	10	,	,	,
10060	335	11	https://doi.org/10.1016/j.ijinfomgt.2008.01.012	https://doi.org/10.1016/j.ijinfomgt.2008.01.012	ADD
10060	335	12	https://doi.org/10.1504/IJSTM.2010.029669	https://doi.org/10.1504/IJSTM.2010.029669	NNP
10060	335	13	https://doi.org/10.5437/08956308X5602045	https://doi.org/10.5437/08956308x5602045	UH
10060	335	14	https://doi.org/10.1016/j.compind.2012.02.009	https://doi.org/10.1016/j.compind.2012.02.009	XX
10060	335	15	https://doi.org/10.1016/S0957-4174(02)00193-8	https://doi.org/10.1016/S0957-4174(02)00193-8	NNP
10060	335	16	https://doi.org/10.1016/j.im.2011.12.004	https://doi.org/10.1016/j.im.2011.12.004	NNP
10060	335	17	https://doi.org/10.1109/ICSSSM.2014.6874033	https://doi.org/10.1109/ICSSSM.2014.6874033	NNP
10060	335	18	https://doi.org/10.1109/ICRIIS.2011.6125691	https://doi.org/10.1109/ICRIIS.2011.6125691	NNP
10060	335	19	https://doi.org/10.1007/s00799-004-0100-1	https://doi.org/10.1007/s00799-004-0100-1	NNP
10060	335	20	https://doi.org/10.1007/11736639_17	https://doi.org/10.1007/11736639_17	NNP
10060	335	21	https://doi.org/10.1108/07378831211266627	https://doi.org/10.1108/07378831211266627	RB
10060	335	22	OF	of	IN
10060	335	23	THE	the	DT
10060	335	24	PEOPLE	PEOPLE	NNS
10060	335	25	,	,	,
10060	335	26	FOR	for	IN
10060	335	27	THE	the	DT
10060	335	28	PEOPLE	PEOPLE	NNPS
10060	335	29	|	|	NNP
10060	335	30	LOU	LOU	NNP
10060	335	31	,	,	,
10060	335	32	WANG	WANG	NNP
10060	335	33	,	,	,
10060	335	34	AND	and	CC
10060	335	35	HE	HE	NNP
10060	335	36	83	83	CD
10060	335	37	https://doi.org/10.6017/ital.v37i3.10060	https://doi.org/10.6017/ital.v37i3.10060	NN
10060	335	38	https://doi.org/10.1108/OIR-11-2012-0203	https://doi.org/10.1108/oir-11-2012-0203	NN
10060	335	39	;	;	:
10060	335	40	Junping	Junping	NNP
10060	335	41	Qiu	Qiu	NNP
10060	335	42	and	and	CC
10060	335	43	Wen	Wen	NNP
10060	335	44	Lou	Lou	NNP
10060	335	45	,	,	,
10060	335	46	“	"	``
10060	335	47	Constructing	construct	VBG
10060	335	48	an	an	DT
10060	335	49	Information	Information	NNP
10060	335	50	Science	Science	NNP
10060	335	51	Resource	Resource	NNP
10060	335	52	Ontology	Ontology	NNP
10060	335	53	Based	base	VBN
10060	335	54	on	on	IN
10060	335	55	the	the	DT
10060	335	56	Chinese	chinese	JJ
10060	335	57	Social	Social	NNP
10060	335	58	Science	Science	NNP
10060	335	59	Citation	Citation	NNP
10060	335	60	Index	Index	NNP
10060	335	61	,	,	,
10060	335	62	”	"	''
10060	335	63	Aslib	Aslib	NNP
10060	335	64	Journal	Journal	NNP
10060	335	65	of	of	IN
10060	335	66	Information	Information	NNP
10060	335	67	Management	Management	NNP
10060	335	68	66	66	CD
10060	335	69	,	,	,
10060	335	70	no	no	UH
10060	335	71	.	.	.
10060	336	1	2	2	LS
10060	336	2	(	(	-LRB-
10060	336	3	March	March	NNP
10060	336	4	10	10	CD
10060	336	5	,	,	,
10060	336	6	2014	2014	CD
10060	336	7	)	)	-RRB-
10060	336	8	:	:	:
10060	336	9	202–18	202–18	CD
10060	336	10	,	,	,
10060	336	11	https://doi.org/10.1108/AJIM-10-2013-0114	https://doi.org/10.1108/ajim-10-2013-0114	UH
10060	336	12	;	;	:
10060	336	13	Fan	Fan	NNP
10060	336	14	Yu	Yu	NNP
10060	336	15	,	,	,
10060	336	16	Junping	Junping	NNP
10060	336	17	Qiu	Qiu	NNP
10060	336	18	,	,	,
10060	336	19	and	and	CC
10060	336	20	Wen	Wen	NNP
10060	336	21	Lou	Lou	NNP
10060	336	22	,	,	,
10060	336	23	“	"	``
10060	336	24	Library	Library	NNP
10060	336	25	Resources	Resources	NNP
10060	336	26	Semantization	Semantization	NNP
10060	336	27	Based	base	VBN
10060	336	28	on	on	IN
10060	336	29	Resource	Resource	NNP
10060	336	30	Ontology	Ontology	NNP
10060	336	31	,	,	,
10060	336	32	”	"	''
10060	336	33	Electronic	Electronic	NNP
10060	336	34	Library	Library	NNP
10060	336	35	32	32	CD
10060	336	36	,	,	,
10060	336	37	no	no	UH
10060	336	38	.	.	.
10060	337	1	3	3	CD
10060	337	2	(	(	-LRB-
10060	337	3	2014	2014	CD
10060	337	4	)	)	-RRB-
10060	337	5	:	:	:
10060	337	6	322–40	322–40	CD
10060	337	7	,	,	,
10060	337	8	https://doi.org/10.1108/EL-05-2012-0056	https://doi.org/10.1108/el-05-2012-0056	JJ
10060	337	9	.	.	.
10060	338	1	28	28	CD
10060	338	2	Lei	Lei	NNP
10060	338	3	Zhang	Zhang	NNP
10060	338	4	et	et	FW
10060	338	5	al	al	NNP
10060	338	6	.	.	NNP
10060	338	7	,	,	,
10060	338	8	“	"	``
10060	338	9	Extracting	extract	VBG
10060	338	10	and	and	CC
10060	338	11	Ranking	Ranking	NNP
10060	338	12	Product	product	NN
10060	338	13	Features	feature	NNS
10060	338	14	in	in	IN
10060	338	15	Opinion	opinion	NN
10060	338	16	Documents	Documents	NNPS
10060	338	17	,	,	,
10060	338	18	”	"	''
10060	338	19	in	in	IN
10060	338	20	International	International	NNP
10060	338	21	Conference	Conference	NNP
10060	338	22	on	on	IN
10060	338	23	Computational	Computational	NNP
10060	338	24	Linguistics	Linguistics	NNP
10060	338	25	(	(	-LRB-
10060	338	26	2010	2010	CD
10060	338	27	)	)	-RRB-
10060	338	28	:	:	:
10060	338	29	1462–70	1462–70	LS
10060	338	30	.	.	.
10060	339	1	29	29	CD
10060	339	2	Lou	Lou	NNP
10060	339	3	and	and	CC
10060	339	4	Qiu	Qiu	NNP
10060	339	5	,	,	,
10060	339	6	“	"	``
10060	339	7	Semantic	Semantic	NNP
10060	339	8	Information	Information	NNP
10060	339	9	Retrieval	Retrieval	NNP
10060	339	10	Research	Research	NNP
10060	339	11	,	,	,
10060	339	12	”	"	''
10060	339	13	4	4	LS
10060	339	14	;	;	:
10060	339	15	Qiu	Qiu	NNP
10060	339	16	and	and	CC
10060	339	17	Lou	Lou	NNP
10060	339	18	,	,	,
10060	339	19	“	"	``
10060	339	20	Constructing	construct	VBG
10060	339	21	an	an	DT
10060	339	22	Information	Information	NNP
10060	339	23	Science	Science	NNP
10060	339	24	Resource	Resource	NNP
10060	339	25	Ontology	Ontology	NNP
10060	339	26	,	,	,
10060	339	27	”	"	''
10060	339	28	202	202	CD
10060	339	29	;	;	:
10060	339	30	Yu	Yu	NNP
10060	339	31	,	,	,
10060	339	32	Qiu	Qiu	NNP
10060	339	33	,	,	,
10060	339	34	and	and	CC
10060	339	35	Lou	Lou	NNP
10060	339	36	,	,	,
10060	339	37	“	"	``
10060	339	38	Library	Library	NNP
10060	339	39	Resources	Resources	NNP
10060	339	40	Semantization	Semantization	NNP
10060	339	41	,	,	,
10060	339	42	”	"	''
10060	339	43	322	322	CD
10060	339	44	.	.	.
10060	340	1	30	30	CD
10060	340	2	Qiu	Qiu	NNP
10060	340	3	and	and	CC
10060	340	4	Lou	Lou	NNP
10060	340	5	,	,	,
10060	340	6	“	"	``
10060	340	7	Constructing	construct	VBG
10060	340	8	an	an	DT
10060	340	9	Information	Information	NNP
10060	340	10	Science	Science	NNP
10060	340	11	Resource	Resource	NNP
10060	340	12	Ontology	Ontology	NNP
10060	340	13	,	,	,
10060	340	14	”	"	''
10060	340	15	202	202	CD
10060	340	16	.	.	.
10060	340	17	https://doi.org/10.1108/OIR-11-2012-0203	https://doi.org/10.1108/OIR-11-2012-0203	NNP
10060	340	18	https://doi.org/10.1108/AJIM-10-2013-0114	https://doi.org/10.1108/AJIM-10-2013-0114	NNP
10060	340	19	https://doi.org/10.1108/EL-05-2012-0056	https://doi.org/10.1108/el-05-2012-0056	JJ
10060	340	20	ABSTRACT	ABSTRACT	NNP
10060	340	21	Introduction	Introduction	NNP
10060	340	22	Related	Related	NNP
10060	340	23	Work	Work	NNP
10060	340	24	User	User	NNP
10060	340	25	Cognition	Cognition	NNP
10060	340	26	and	and	CC
10060	340	27	Measurement	Measurement	NNP
10060	340	28	User	User	NNP
10060	340	29	-	-	HYPH
10060	340	30	Oriented	Oriented	NNP
10060	340	31	Knowledge	Knowledge	NNP
10060	340	32	Service	Service	NNP
10060	340	33	Model	Model	NNP
10060	340	34	Knowledge	Knowledge	NNP
10060	340	35	Service	Service	NNP
10060	340	36	System	System	NNP
10060	340	37	Construction	Construction	NNP
10060	340	38	Resource	Resource	NNP
10060	340	39	-	-	HYPH
10060	340	40	Organization	Organization	NNP
10060	340	41	Model	Model	NNP
10060	340	42	Based	base	VBN
10060	340	43	on	on	IN
10060	340	44	User	User	NNP
10060	340	45	Cognition	Cognition	NNP
10060	340	46	Resource	Resource	NNP
10060	340	47	-	-	HYPH
10060	340	48	Organization	Organization	NNP
10060	340	49	Experiment	Experiment	NNP
10060	340	50	Object	Object	NNP
10060	340	51	Selection	Selection	NNP
10060	340	52	Data	Data	NNPS
10060	340	53	Collection	Collection	NNP
10060	340	54	and	and	CC
10060	340	55	Processing	Processing	NNP
10060	340	56	Category	Category	NNP
10060	340	57	Organization	Organization	NNP
10060	340	58	Indexing	Indexing	NNP
10060	340	59	Books	book	NNS
10060	340	60	4.5	4.5	CD
10060	340	61	Semantic	semantic	JJ
10060	340	62	-	-	HYPH
10060	340	63	Resource	Resource	NNP
10060	340	64	Construction	Construction	NNP
10060	340	65	5	5	CD
10060	340	66	.	.	.
10060	341	1	User	User	NNP
10060	341	2	-	-	HYPH
10060	341	3	Experience	Experience	NNP
10060	341	4	Study	Study	NNP
10060	341	5	on	on	IN
10060	341	6	Knowledge	Knowledge	NNP
10060	341	7	Display	Display	NNP
10060	341	8	and	and	CC
10060	341	9	Recommendation	Recommendation	NNP
10060	341	10	User	User	NNP
10060	341	11	-	-	HYPH
10060	341	12	Experience	Experience	NNP
10060	341	13	Study	Study	NNP
10060	341	14	Design	Design	NNP
10060	341	15	Study	Study	NNP
10060	341	16	1	1	CD
10060	341	17	:	:	:
10060	341	18	Comparison	comparison	NN
10060	341	19	of	of	IN
10060	341	20	Simple	Simple	NNP
10060	341	21	Retrieval	Retrieval	NNP
10060	341	22	Study	Study	NNP
10060	341	23	2	2	CD
10060	341	24	:	:	:
10060	341	25	Knowledge	Knowledge	NNP
10060	341	26	Recommendation	Recommendation	NNP
10060	341	27	Users	user	NNS
10060	341	28	’	’	POS
10060	341	29	Feedback	Feedback	NNP
10060	341	30	Discussion	Discussion	NNP
10060	341	31	and	and	CC
10060	341	32	Conclusion	Conclusion	NNP
10060	341	33	Acknowledgements	Acknowledgements	NNP
10060	341	34	References	References	NNPS
10060	341	35	and	and	CC
10060	341	36	notes	note	NNS