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Tagging Ontologies with Fuzzy WordNet Domains

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

Abstract

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.

Keywords

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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

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

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