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A Methodology for Extracting Ontological Knowledge from Spanish Documents

  • Rafael Valencia-García
  • Dagoberto Castellanos-Nieves
  • Jesualdo Tomás Fernández-Breis
  • Pedro José Vivancos-Vicente
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3878)

Abstract

This paper presents a semi-automatic approach for extracting knowledge from natural language texts in Spanish. The knowledge is acquired and learned through the combination of NLP techniques for analyzing text fragments, the ontological technology for representing knowledge and MCRDR, a case-based reasoning methodology. This approach has been applied in the oncology domain and the results of this application are discussed in this work.

Keywords

Grammatical Category Linguistic Expression Natural Language Text Natural Language Processing Technique Ontological Knowledge 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Rafael Valencia-García
    • 1
  • Dagoberto Castellanos-Nieves
    • 2
  • Jesualdo Tomás Fernández-Breis
    • 1
  • Pedro José Vivancos-Vicente
    • 1
  1. 1.Departamento de Informática y Sistemas. Facultad de InformáticaUniversidad de MurciaEspinardo (Murcia)España
  2. 2.Facultad de Informática y MatemáticaUniversidad de HolguínHolguínCuba

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