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Handling Imprecise Knowledge with Fuzzy Description Logic

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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


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