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Fuzzy Ontologies for Specialized Knowledge Representation in WordNet

  • Fernando Bobillo
  • Juan Gómez-Romero
  • Pilar León Araúz
Part of the Communications in Computer and Information Science book series (CCIS, volume 297)

Abstract

Despite the undisputed success of ontologies, they are not appropriate to represent and reason with vague knowledge. WordNet, a widely used ontology for general/natural language tasks, presents some of these problems when it is applied to specialized discourse. In this paper, we propose to use fuzzy ontologies, which combine Fuzzy Logic theory and Description Logics, to represent the imprecise notions of prototypicality and representativeness inside a synonym set, semantic similarity, and hyponymic degree in WordNet. We show that this approach is particularly appropiate to combine WordNet with other specific terminological resources, such as the environmental knowledge base EcoLexicon.

Keywords

Description Logic Word Sense Reasoning Task Fuzzy Concept Prototype Theory 
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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References

  1. 1.
    Bobillo, F., Delgado, M., Gómez-Romero, J.: Crisp representations and reasoning for fuzzy ontologies. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 17(4), 501–530 (2009)MathSciNetCrossRefGoogle Scholar
  2. 2.
    Bobillo, F., Delgado, M., Gómez-Romero, J.: DeLorean: A reasoner for fuzzy OWL 2. Expert Systems with Applications 39(1), 258–272 (2012)CrossRefGoogle Scholar
  3. 3.
    Gómez-Pérez, A., Corcho, O., Fernández-López, M.: Ontological Engineering: with examples from the areas of Knowledge Management, e-Commerce and the Semantic Web. Springer (2004)Google Scholar
  4. 4.
    Lai, L.F., Wu, C.C., Lin, P.Y., Huang, L.T.: Developing a fuzzy search engine based on fuzzy ontology and semantic search. In: Proceedings of the 20th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), pp. 2684–2689 (2011)Google Scholar
  5. 5.
    León Araúz, P., Reimerink, A., Faber, P.: Environmental knowledge in EcoLexicon. In: Jassem, K., Fuglewicz, P., Piasecki, M. (eds.) Proceedings of the Computational Linguistics Applications Conference (CLA 2011), Jachranka, Poland, pp. 9–16 (2011)Google Scholar
  6. 6.
    Lukasiewicz, T., Straccia, U.: Managing uncertainty and vagueness in description logics for the semantic web. Journal of Web Semantics 6(4), 291–308 (2008)CrossRefGoogle Scholar
  7. 7.
    Miller, G.A.: WordNet: A lexical database for English. Communications of the ACM 38(11), 39–41 (1995)CrossRefGoogle Scholar
  8. 8.
    Oltramari, A., Gangemi, A., Guarino, N., Masolo, C.: Restructuring WordNet’s top-level: The OntoClean approach. In: Simov, K. (ed.) Proceedings of the Ontologies and Lexical Knowledge Bases Workshop (OntoLex’2), pp. 17–26 (2002)Google Scholar
  9. 9.
    Osherson, D., Smith, E.: On the adequacy of prototype theory as a theory of concepts. Cognition 9, 35–58 (1981)CrossRefGoogle Scholar
  10. 10.
    Rosch, E.: Principles of categorization. In: Rosch, E., Lloyd, B. (eds.) Cognition and Categorization. Lawrence Erlbaum Associates (1978)Google Scholar
  11. 11.
    Staab, S., Studer, R.: Handbook on ontologies. Springer (2009)Google Scholar
  12. 12.
    van Assem, M., Gangemi, A., Schreiber, G.: RDF/OWL representation of WordNet (W3C Working Draft) (June 2006), http://www.w3.org/TR/wordnet-rdf
  13. 13.
    Wittgenstein, L.: Philosophical Investigations. Basil Blackwell (1953)Google Scholar
  14. 14.
    Zadeh, L.: A note on prototype theory and fuzzy sets. Cognition 12, 291–297 (1982)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Fernando Bobillo
    • 1
  • Juan Gómez-Romero
    • 2
  • Pilar León Araúz
    • 3
  1. 1.Department of Computer Science and Systems EngineeringUniversity of ZaragozaSpain
  2. 2.Department of Computer Science, Applied Artificial Intelligence GroupUniversity Carlos III of MadridSpain
  3. 3.Department of Translation and InterpretingUniversity of GranadaSpain

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