Sistemas de recuperación de información adaptados al dominio biomédico

  1. Marrero, Mónica
  2. Sánchez Cuadrado, Sonia
  3. Urbano, Julián
  4. Morato Lara, Jorge
  5. Moreiro González, José Antonio
Journal:
El profesional de la información

ISSN: 1386-6710,  1699-2407

Year of publication: 2010

Issue Title: Información biomédica

Volume: 19

Issue: 3

Pages: 246-254

Type: Article

DOI: 10.3145/EPI.2010.MAY.04 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: El profesional de la información

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Abstract

The terminology used in biomedicine has lexical characteristics that have required the elaboration of terminological resources and information retrieval systems with specific functionalities. The main characteristics are the high rates of synonymy and homonymy, due to phenomena such as the proliferation of polysemic acronyms and their interaction with common language. Information retrieval systems in the biomedical domain use techniques oriented to the treatment of these lexical peculiarities. In this paper we review some of these techniques, such as the application of Natural Language Processing (BioNLP), the incorporation of lexical-semantic resources, and the application of Named Entity Recognition (BioNER). Finally, we present the evaluation methods adopted to assess the suitability of these techniques for retrieving biomedical resources.

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Data source: Dialnet