IKARUS-Onto: A methodology to develop fuzzy ontologies from crisp ones

Alexopoulos, P; Wallace, M; Kafentzis, K; Askounis, D

dc.contributor.author	Alexopoulos, P	en
dc.contributor.author	Wallace, M	en
dc.contributor.author	Kafentzis, K	en
dc.contributor.author	Askounis, D	en
dc.date.accessioned	2014-03-01T02:09:19Z
dc.date.available	2014-03-01T02:09:19Z
dc.date.issued	2012	en
dc.identifier.issn	02191377	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/29808
dc.subject	Fuzzy ontologies	en
dc.subject	Knowledge management	en
dc.subject	Knowledge-based systems	en
dc.subject	Ontology engineering	en
dc.subject	Semantic web	en
dc.subject	Vagueness	en
dc.title	IKARUS-Onto: A methodology to develop fuzzy ontologies from crisp ones	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/s10115-011-0457-6	en
heal.identifier.secondary	http://dx.doi.org/10.1007/s10115-011-0457-6	en
heal.publicationDate	2012	en
heal.abstract	Fuzzy Ontologies comprise a relatively new knowledge representation paradigm that is being increasingly applied in application scenarios in which the treatment and utilization of vague or imprecise knowledge are important. However, the majority of research in the area has mostly focused on the development of conceptual formalisms for representing (and reasoning with) fuzzy ontologies, while the methodological issues entailed within the development process of such an ontology have been so far neglected. With that in mind, we present in this paper IKARUS-Onto, a comprehensive methodology for developing fuzzy ontologies from existing crisp ones that significantly enhances the effectiveness of the fuzzy ontology development process and the quality, in terms of accuracy, shareability and reusability, of the process's output. © 2011 Springer-Verlag London Limited.	en
heal.journalName	Knowledge and Information Systems	en
dc.identifier.doi	10.1007/s10115-011-0457-6	en
dc.identifier.volume	32	en
dc.identifier.issue	3	en
dc.identifier.spage	667	en
dc.identifier.epage	695	en