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.
Locoro, A. (2011). Tagging ontologies with fuzzy WordNet Domains. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp.107-114) [10.1007/978-3-642-23713-3_14].
Tagging ontologies with fuzzy WordNet Domains
LOCORO, ANGELA
2011
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.
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