Semantic journal mapping for search visualization in a large scale article digital library

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Proceedings titleProceedings of the Second Workshop on Very Large Digital Libraries VLDL2009 (A Workshop in conjunction with the European Conference on Digital Libraries 2009)
ConferenceSecond Workshop on Very Large Digital Libraries, European Conference on Digital Libraries (ECDL) 2009, Sept. 27- Oct. 2, 2009, Corfu, Greece
AbstractIn this paper, we examine the scalability and utility of semantically mapping (visualizing) journals in a large scale (5.7+ million) science, technology and medical article digital library. This work is part of a larger research effort to evaluate semantic journal and article mapping for search query results refinement and visual contextualization in a large scale digital library. In this work the Semantic Vectors software package is parallelized and evaluated to create semantic distances be- tween 2365 journals, from the sum of their full-text. This is used to create a journal semantic map whose production does scale and whose results are comparable to other maps of the scientific literature.
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AffiliationNational Research Council Canada; NRC Canada Institute for Scientific and Technical Information
Peer reviewedNo
NPARC number21268570
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Record identifier63e869d5-b589-456e-8459-33e1da3d35c8
Record created2013-10-09
Record modified2016-05-09
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