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Updated: Jul 17, 2026

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
Exploiting semantic relations for literature-based discovery
Dimitar Hristovski1, Carol Friedman, Thomas C Rindflesch
1Institure of Biomedical Informatics, Medical Faculty, University of Ljubljana, Slovenia. dimitar.hristovski@mf.uni-lf.si
Abstract:
We propose using semantic predications to enhance literature-based discovery (LBD) systems, which currently depend exclusively on co-occurrence of words or concepts in target documents. In this paper, the predications, which are produced by the combined application of two natural language processing systems, BioMedLEE and SemRep, are coupled with an LBD system BITOLA. Initial experiments suggest this approach can uncover new associations that were not possible using previous methods.
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