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, ANGELA
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.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
