id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_vd6oruexsvf4fikunggshpi4vm	Bahar Sateli	ScholarLens: extracting competences from research publications for the automatic generation of semantic user profiles	2017	39	.pdf	application/pdf	17535	1766	58	user profiles and Linked Open Data (LOD) sources for representing competence topics. Researchers can then obtain personalized services through applications leveraging the semantic user profiles. constructing semantic user profiles in a linked open data format for automatic knowledge generic user and competence modeling with semantic web vocabularies. Figure 2 The RDF graph shown in this picture represents a semantic user profile that illustrates the relations between an author and the topics the workflow is a knowledge base populated with semantic user profiles, inter-linked with resources on the linked open data cloud. Table 3 Evaluation results for the generated user profiles in the first user study: this table shows the number of distinct competence topics extracted from the ten participants and the average precisions at 10, 25 and 50 cut-off ranks. to re-rank the results, based on the common topics in both the papers and a user's profile: http://www.semanticsoftware.info/semantic-user-profiling-peerj-2016-supplements http://www.semanticsoftware.info/semantic-user-profiling-peerj-2016-supplements http://www.semanticsoftware.info/semantic-user-profiling-peerj-2016-supplements http://www.semanticsoftware.info/semantic-user-profiling-peerj-2016-supplements	./cache/work_vd6oruexsvf4fikunggshpi4vm.pdf	./txt/work_vd6oruexsvf4fikunggshpi4vm.txt