http://www.cnr.it/ontology/cnr/individuo/prodotto/ID93758

Acquiring Thesauri from Wikis by Exploiting Domain Models and Lexical Substitution (Contributo in atti di convegno)

Type

Label

Acquiring Thesauri from Wikis by Exploiting Domain Models and Lexical Substitution (Contributo in atti di convegno) (literal)

Anno

Alternative label

Giuliano C., Gliozzo A.M., Gangemi A. and Tymoshenko K. (2010)
Acquiring Thesauri from Wikis by Exploiting Domain Models and Lexical Substitution
in Extended Semantic Web Conference (ESWC2010), Heraklion
(literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume

Rivista

Note

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

Titolo

Acquiring Thesauri from Wikis by Exploiting Domain Models and Lexical Substitution (literal)

Abstract

Acquiring structured data from wikis is a problem of increasing interest in knowledge engineering and Semantic Web. In fact, collaboratively developed resources are growing in time, have high quality and are constantly updated. Among these problems, an area of interest is extracting thesauri from wikis. A thesaurus is a resource that lists words grouped together according to similarity of meaning, generally organized by synonyms. Thesauri are very useful for a large variety of applications, including information retrieval and knowledge engineering. Most information in wikis is expressed by means of natural language texts and internal links among Web pages, the so-called wikilinks. In this paper, an innovative method for inducing thesauri from Wikipedia is presented. It leverages on the Wikipedia structure to extract concepts and terms denoting them, obtaining a thesaurus that can be profitably used into applications. This method boosts sensibly precision and recall if applied to re-rank a state-of-the-art baseline approach. Finally, we discuss how to represent the extracted results in RDF/OWL, with respect to existing good practices. (literal)

Prodotto di