BioKI:Enzymes: an adaptable system to locate low-frequency information in full-text proteomics articles

Authors:
Sabine Bergler;Jonathan Schuman;Julien Dubuc;Alexandr Lebedev
Affiliations:
Concordia University, Montreal, Quebec;Concordia University, Montreal, Quebec;Concordia University, Montreal, Quebec;Concordia University, Montreal, Quebec
Venue:
BioNLP '06 Proceedings of the Workshop on Linking Natural Language Processing and Biology: Towards Deeper Biological Literature Analysis
Year:
2006

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Abstract

BioKI:Enzymes is a literature navigation system that uses a two-step process. First, full-text articles are retrieved from PubMed Central (PMC). Then, for each article, the most relevant passages are identified according to a set of user selected keywords, and the articles are ranked according to the pertinence of the representative passages.