Concept-based query expansion for retrieving gene related publications from MEDLINE |
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Authors: | Sérgio Matos Joel P Arrais João Maia-Rodrigues José Luis Oliveira |
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Institution: | (1) Institute of Electronics and Telematics Engineering of Aveiro (IEETA), University of Aveiro, 3810-193 Aveiro, Portugal;(2) Computational Structural Biology, Department of Structural Biology, Stanford University School of Medicine, Stanford, CA 94305, USA |
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Abstract: | Background Advances in biotechnology and in high-throughput methods for gene analysis have contributed to an exponential increase in
the number of scientific publications in these fields of study. While much of the data and results described in these articles
are entered and annotated in the various existing biomedical databases, the scientific literature is still the major source
of information. There is, therefore, a growing need for text mining and information retrieval tools to help researchers find
the relevant articles for their study. To tackle this, several tools have been proposed to provide alternative solutions for
specific user requests. |
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Keywords: | |
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