Analysis and evaluation of techniques for the extraction of classes in the ontology learning process


Autoria(s): Pedraza Jiménez, Rafael; Vállez, Mari; Codina, Lluís; Rovira, Cristòfol
Data(s)

02/07/2013

Resumo

This paper analyzes and evaluates, in the context of Ontology learning, some techniques to identify and extract candidate terms to classes of a taxonomy. Besides, this work points out some inconsistencies that may be occurring in the preprocessing of text corpus, and proposes techniques to obtain good terms candidate to classes of a taxonomy.

The development of this research is partially supported by projects CSO 2008-02627 and CSO2009-13713-C05-04 of the Spanish Ministry of Science and Innovation.

Identificador

http://hdl.handle.net/10230/16356

Idioma(s)

eng

Publicador

Springer

Direitos

info:eu-repo/semantics/openAccess

(c) Springer-Verlag Berlin Heidelberg 2010. The original publication is available at <a href="http://www.springerlink.com/content/e7h3273064450331/">http://www.springerlink.com/content/e7h3273064450331/</a>

Palavras-Chave #Web semàntica #Ontologia #Adquisició del coneixement (Sistemes experts) #Semantic web #Ontolgy engineering #Ontology learning #Text mining #Language processing
Tipo

info:eu-repo/semantics/article

info:eu-repo/semantics/acceptedVersion