A Methodology for Extracting Ontological Knowledge from Spanish Documents (original) (raw)

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.

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Authors and Affiliations

  1. Departamento de Informática y Sistemas. Facultad de Informática, Universidad de Murcia, 30071, Espinardo (Murcia), España
    Rafael Valencia-García, Jesualdo Tomás Fernández-Breis & Pedro José Vivancos-Vicente
  2. Facultad de Informática y Matemática, Universidad de Holguín, Holguín, Cuba
    Dagoberto Castellanos-Nieves

Authors

  1. Rafael Valencia-García
  2. Dagoberto Castellanos-Nieves
  3. Jesualdo Tomás Fernández-Breis
  4. Pedro José Vivancos-Vicente

Editor information

Editors and Affiliations

  1. National Polytechnic Institute, Center for Computing Research, 07738, Mexico City, México
    Alexander Gelbukh

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© 2006 Springer-Verlag Berlin Heidelberg

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Valencia-García, R., Castellanos-Nieves, D., Fernández-Breis, J.T., Vivancos-Vicente, P.J. (2006). A Methodology for Extracting Ontological Knowledge from Spanish Documents. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2006. Lecture Notes in Computer Science, vol 3878. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11671299\_8

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