id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_2s7yi5h4orcibame2ndlhum7lu	Rossitza Setchi	Multi-faceted assessment of trademark similarity	2016	40	.pdf	application/pdf	10697	1670	66	 A novel method for the assessment of trademark similarity is proposed. similarity and produces an aggregated score based on the individual visual, semantic and proposed computational method for assessing trademark similarity employs multi-faceted evaluation of the three main aspects of trademark similarity: visual, semantic and phonetic. previous approaches aimed at developing decision support systems for trademark similarity Table 1 shows examples of trademarks with different types of similarity: visual, retrieving trademarks based on their visual similarity using low-level features. fuzzy logic to compute the degree of similarity between trademarks due to its natural algorithm (Navarro, 2001) is used to compute the visual similarity of trademarks with word The computation of semantic trademark similarity uses two sets of features to represent fuzzy set, i.e. the visual, semantic and phonetic similarity scores, respectively, and k is the 	./cache/work_2s7yi5h4orcibame2ndlhum7lu.pdf	./txt/work_2s7yi5h4orcibame2ndlhum7lu.txt