| Literature DB >> 17238361 |
Dimitar Hristovski1, Carol Friedman, Thomas C Rindflesch, Borut Peterlin.
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.Entities:
Mesh:
Year: 2006 PMID: 17238361 PMCID: PMC1839258
Source DB: PubMed Journal: AMIA Annu Symp Proc ISSN: 1559-4076