Utilizing imprecise knowledge in ontology-based CBR systems by means of fuzzy algebra

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	2014-03-01T02:00:01Z
dc.date.available	2014-03-01T02:00:01Z
dc.date.issued	2010	en
dc.identifier.issn	15622479	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/29069
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-77950930052&partnerID=40&md5=84e0ccfbea21474a8fd9f28b76338cfc	en
dc.subject	Case based reasoning	en
dc.subject	Fuzzy algebra	en
dc.subject	Ontologies	en
dc.subject.other	CBr	en
dc.subject.other	CBR systems	en
dc.subject.other	Formal ontology	en
dc.subject.other	Fuzzy algebra	en
dc.subject.other	Imprecise knowledge	en
dc.subject.other	Knowledge assets	en
dc.subject.other	Ontology-based	en
dc.subject.other	Specific knowledge	en
dc.subject.other	Algebra	en
dc.subject.other	Bits	en
dc.subject.other	Knowledge management	en
dc.subject.other	Ontology	en
dc.subject.other	Case based reasoning	en
dc.title	Utilizing imprecise knowledge in ontology-based CBR systems by means of fuzzy algebra	en
heal.type	journalArticle	en
heal.publicationDate	2010	en
heal.abstract	Case Based Reasoning (CBR) is a problem-solving paradigm that uses knowledge of relevant past experiences (cases) to interpret or solve new problems. An evolvement to this paradigm is ontology-based CBR, an approach that combines, in the form of formal ontologies, case specific knowledge with domain one in order to improve the effectiveness of the CBR process. This effectiveness is further improved if ontology-based CBR systems are able to utilize knowledge that is vague or imprecise; to that end, we present in this paper a novel CBR approach that manages and utilizes imprecise knowledge through the integration of Fuzzy Algebra in the ontology-based CBR paradigm. The approach has been applied in real life and constitutes the core of a portal that provides the public with intelligent access to knowledge assets. © 2010 TFSA.	en
heal.journalName	International Journal of Fuzzy Systems	en
dc.identifier.volume	12	en
dc.identifier.issue	1	en
dc.identifier.spage	1	en
dc.identifier.epage	14	en