On the similarity relation within fuzzy ontology components

Afef Bahri, Lotfi Bejaoui, Salem Chakhar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

Ontology reuse is an important research issue. Ontology merging, integration, mapping, alignment and versioning are some of its subprocesses. A considerable research work has been conducted on them. One common issue to these subprocesses is the problem of defining similarity relations among ontologies components. Crisp ontologies become less suitable in all domains in which the concepts to be represented have vague, uncertain and imprecise definitions. Fuzzy ontologies are developed to cope with these aspects. They are equally concerned with the problem of ontology reuse. Defining similarity relations within fuzzy context may be realized basing on the linguistic similarity among ontologies components or may be deduced from their intensional definitions. The latter approach needs to be dealt with differently in crisp and fuzzy ontologies. This is the scope of this paper.
Original languageEnglish
Title of host publicationThe 2nd International Symposium on Computational Intelligence and Intelligent Informatics, Tunis-Gammarth, Tunisia, 14-16 October
PublisherThe Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)
Publication statusPublished - 2005
EventThe 2nd International Symposium on Computational Intelligence and Intelligent Informatics - Hammamet, Tunis-Gammarth, Tunisia
Duration: 14 Oct 200516 Oct 2005

Conference

ConferenceThe 2nd International Symposium on Computational Intelligence and Intelligent Informatics
Country/TerritoryTunisia
CityTunis-Gammarth
Period14/10/0516/10/05

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