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. © 2011 Springer-Verlag.

Tagging ontologies with fuzzy WordNet Domains

Locoro A.
2011-01-01

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. © 2011 Springer-Verlag.
2011
Fuzzy Logic and Applications
9783642237126
9783642237133
9th International Workshop on Fuzzy Logic and Applications, WILF 2011
Trani, ita
2011
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11383/2119314
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