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.
|Title of host publication||The 2nd International Symposium on Computational Intelligence and Intelligent Informatics, Tunis-Gammarth, Tunisia, 14-16 October|
|Publisher||The Japan Society for Fuzzy Theory and Intelligent Informatics （SOFT）|
|Publication status||Published - 2005|
|Event||The 2nd International Symposium on Computational Intelligence and Intelligent Informatics - Hammamet, Tunis-Gammarth, Tunisia|
Duration: 14 Oct 2005 → 16 Oct 2005
|Conference||The 2nd International Symposium on Computational Intelligence and Intelligent Informatics|
|Period||14/10/05 → 16/10/05|