Ontology Learning from Thesauri: An Experience in the Urban Domain

[en] Ontology learning is the term used to encompass methods and techniques employed for the (semi-) automatic processing of knowledge resources that facilitate the acquisition of knowledge during ontology construction. This chapter focuses on ontology learning techniques using thesauri as input sources. Thesauri are one of the most promising sources for the creation of domain ontologies thanks to the richness of term definitions, the existence of a priori relationships between terms, and the consensus provided by their extensive use in the library context. Apart from reviewing the state of the art, this chapter shows how ontology learning techniques can be applied in the urban domain for the development of domain ontologies.

Research center :

LEMA - Local Environment Management and Analysis
Lepur : Centre de Recherche en Sciences de la Ville, du Territoire et du Milieu rural

Disciplines :

Architecture

Author, co-author :

Nogueras-Iso, Javier

Lacasta, Javier

Teller, Jacques ; Université de Liège - ULiège > Département Argenco : Secteur TLU+C > Urbanisme et aménagement du territoire

Falquet, Gilles

Guyot, Jacques

Language :

English

Title :

Ontology Learning from Thesauri: An Experience in the Urban Domain

Publication date :

2010

Main work title :

Ontology Theory, Management and Design: Advanced Tools and Models

Author, co-author :

Gargouri, Faiez

Jaziri, Wassim

Publisher :

IGI Global, Hershey, United States

ISBN/EAN :

978-1-61520-859-3

Collection name :

Information Science Reference

Pages :

248-261

Name of the research project :

Towntology

Funders :

ESF - European Science Foundation [FR]

Available on ORBi :

since 21 April 2010

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Bibliography

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