Handling Imprecise Knowledge with Fuzzy Description Logic

Stoilos, G; Stamou, G; Pan, J

dc.contributor.author	Stoilos, G	en
dc.contributor.author	Stamou, G	en
dc.contributor.author	Pan, J	en
dc.date.accessioned	2014-03-01T02:50:15Z
dc.date.available	2014-03-01T02:50:15Z
dc.date.issued	2006	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34998
dc.relation.uri	http://www.ceur-ws.org/Vol-189/submission_3.pdf	en
dc.relation.uri	http://www.image.ece.ntua.gr/papers/424.pdf	en
dc.relation.uri	http://www.informatik.uni-trier.de/~ley/db/conf/dlog/dlog2006.html#StoilosSP06	en
dc.relation.uri	http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-189/submission_3.pdf	en
dc.relation.uri	http://ftp.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-189/submission_3.pdf	en
dc.subject	Fuzzy Description Logic	en
dc.title	Handling Imprecise Knowledge with Fuzzy Description Logic	en
heal.type	conferenceItem	en
heal.publicationDate	2006	en
heal.abstract	Fuzzy Description Logics have been proposed in the literature as a way to represent and reason with vague and imprecise knowledge. Their decidability, the empirically tractable and ecient reasoning algorithms, that carry over to fuzzy Description Logics, have attracted the attention of many research communities and domains that deal with a wealth of imprecise knowledge and information. In the current	en
heal.journalName	Description Logics	en