Sistemas de recuperación de información adaptados al dominio biomédico = Information retrieval systems adapted to the biomedical domain Articles uri icon

publication date

  • March 2012

start page

  • 246

end page

  • 254

issue

  • 3

volume

  • 19

International Standard Serial Number (ISSN)

  • 1386-6710

Electronic International Standard Serial Number (EISSN)

  • 1699-2407

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.

keywords

  • biomedicine ; bioner; bionlp; text-mining; information retrieval; natural language processing; nlp ; biomedicina; text-mining; recuperación de información; proceso del lenguaje natural