Tagging Ontologies with Fuzzy WordNet Domains

  • Angela Locoro
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6857)


The use of WordNet Domains is confined in the present days to Text Mining field. Moreover, the tagging of WordNet synsets with WordNet Domain labels is a crisp one. This paper introduces an approach for automatically tagging both ontologies and their concepts with WordNet domains in a fuzzy fashion, for topic classification purposes. Our fuzzy WordNet Domains model is presented as well as our domain disambiguation procedure. Experiments show promising results and are introduced in this paper as well as a final discussion on envisioned scenarios for our approach.


Word Sense Disambiguation Level Domain High Membership Ontology Hierarchy Fuzzy Domain 
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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Agirre, E., Edmonds, P.: Word Sense Disambiguation - Algorithms and Applications. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  2. 2.
    Bentivogli, L., Forner, P., Magnini, B., Pianta, E.: Revising WordNet domains hierarchy: Semantics, coverage, and balancing. In: Proc. of the 21st International Conference on Computational Linguistics (COLING 2004), pp. 101–108 (2004)Google Scholar
  3. 3.
    Gliozzo, A., Strapparava, C.: Semantic Domains in Computational Linguistics. Springer, Heidelberg (2009)CrossRefzbMATHGoogle Scholar
  4. 4.
    Hartmann, J., Palma, R., Sure, Y.: Omv - ontology metadata vocabulary. In: ISWC 2005 Workshop on Ontology Patterns for the Semantic Web (2005)Google Scholar
  5. 5.
    Magnini, B., Cavagliá, G.: Integrating Subject Field Codes into WordNet. In: Gavrilidou, M., Crayannis, G., Markantonatu, S., Piperidis, S., Stainhaouer, G. (eds.) Proc. of the 2nd International Conference on Language Resources and Evaluation (LREC-2000), pp. 1413–1418 (2000)Google Scholar
  6. 6.
    Magnini, B., Strapparava, C., Pezzulo, G., Gliozzo, A.: The role of domain information in word sense disambiguation. Natural Language Engineering 8(4), 359–373 (2002)CrossRefGoogle Scholar
  7. 7.
    Niles, I., Pease, A.: Linking lexicons and ontologies: Mapping wordnet to the suggested upper merged ontology. In: Arabnia, H.R. (ed.) IKE, pp. 412–416. CSREA Press (2003)Google Scholar
  8. 8.
    Oltramari, A., Vetere, G., Lenzerini, M., Gangemi, A., Guarino, N.: Senso comune. In: Calzolari, N., Choukri, K., Maegaard, B., Mariani, J., Odijk, J., Piperidis, S., Rosner, M., Tapias, D. (eds.) LREC, European Language Resources Association (2010)Google Scholar
  9. 9.
    Zadeh, L.A.: Fuzzy sets. Information and Control 8(3), 338–353 (1965)MathSciNetCrossRefzbMATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Angela Locoro
    • 1
  1. 1.Computer Science DepartmentUniversity of GenovaGenovaItaly

Personalised recommendations