id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_ak5jigojane2zjdpjwse6pbcme	Rob Koopman	Contextualization of topics: browsing through the universe of bibliographic information	2017	22	.pdf	application/pdf	8879	821	59	Abstract This paper describes how semantic indexing can help to generate a contextual overview of topics and visually compare clusters of articles. More specifically, we treat the assignment of an article to the different clustering solutions as It also holds for groups of query terms, or for the exploration of sets of documents, produced by different clustering algorithms. the method of semantic indexing, by which each bibliographic record is decomposed and a vector representation for each of its entities in a lexical space is build, The interface responds to a search query with a network visualization of most related terms, authors, journals, citations and cluster IDs. The paper about the OCLC clustering solutions [36] we applied clustering to different variants of the vector representation of articles, including variants with and the context of entities, such as topical terms, authors, journals, subjects and citations associated with a set of articles.	./cache/work_ak5jigojane2zjdpjwse6pbcme.pdf	./txt/work_ak5jigojane2zjdpjwse6pbcme.txt