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)


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.


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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  1. 1.
    Alani, H., Kim, S., Millard, D.E., Weal, M.J., Hall, W., Lewis, P.H., Shadbolt, N.R.: Automatic Ontology-Based Knowledge Extraction from Web Documents. IEEE Intelligent Systems, 14–21 (January/February 2003)Google Scholar
  2. 2.
    Davulcu, H., Vadrevu, S., Nagarajan, S., Ramakrishnan, I.V.: OntoMiner: Bootstrapping and Populating Ontologies from Domain-Specific Web Sites. IEEE Intelligent Systems, 24–33 (September/October 2003)Google Scholar
  3. 3.
    Fellbaum, C.: WordNet: An Electronic Lexical Database. MIT Press, Cambridge (1998)zbMATHGoogle Scholar
  4. 4.
    Gómez-Pérez, A., Moreno, A., Pazos, J., Sierra-Alonso, A.: Knowledge maps: An essential technique for conceptualization. Data and Knowledge Engineering 33, 169–190 (2000)CrossRefGoogle Scholar
  5. 5.
    Kang, B.: Multiple Classification Ripple Down Rules. PhD thesis, University of New South Wales (1996)Google Scholar
  6. 6.
    Maedche, A., Staab, S.: Ontology Learning for the Semantic Web. IEEE Intelligent Systems 16(2), 72–79 (2001)CrossRefGoogle Scholar
  7. 7.
    Navigli, R., Velardi, P., Gangemi, A.: Ontology Learning and Its Application to Automated Terminology Translation. IEEE Intelligent Systems, 22–31 (January/February 2003)Google Scholar
  8. 8.
    Ruiz-Sanchez, J.M., Valencia-García, R., Fernández-Breis, J.T., Martínez-Béjar, R., Compton, P.: ‘An approach for incremental knowledge acquisition from text’. Expert Systems with Applications 25(2), 77–86 (2003)CrossRefGoogle Scholar
  9. 9.
    Shamsfard, M., Barforoush, A.: Learning ontologies from natural language texts. International Journal of Human-Computer Studies 60(1), 17–63 (2004)CrossRefGoogle Scholar
  10. 10.
    Van Heijst, G., Schreiber, A.T., Wielinga, B.J.: Using explicit ontologies in KBS development. International Journal of Human-Computer Studies 45, 183–292 (1997)Google Scholar
  11. 11.
    Valencia-García, R., Ruiz-Sánchez, J.M., Vivancos-Vicente, P.J., Fernández-Breis, J.T., Martínez-Béjar, R.: An incremental approach for discovering medical knowledge from texts. Expert Systems with Applications 26(3), 291–299 (2004)CrossRefGoogle Scholar
  12. 12.
    Valencia-García, R., Castellanos-Nieves, D., Vivancos Vicente, P.J., Fernández-Breis, J.T., Martínez-Béjar, R., García-Sánchez, F.: An approach for Ontology Building from Text Supported by NLP techniques. In: Conejo, R., Urretavizcaya, M., Pérez-de-la-Cruz, J.-L. (eds.) CAEPIA/TTIA 2003. LNCS (LNAI), vol. 3040, pp. 126–135. Springer, Heidelberg (2004)CrossRefGoogle Scholar

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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