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Expressive reasoning with horn rules and fuzzy description logics

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dc.contributor.author Mailis, T en
dc.contributor.author Stoilos, G en
dc.contributor.author Stamou, G en
dc.date.accessioned 2014-03-01T02:44:37Z
dc.date.available 2014-03-01T02:44:37Z
dc.date.issued 2007 en
dc.identifier.issn 03029743 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/31911
dc.subject Conjunctive Queries en
dc.subject Fuzzy Description Logic en
dc.subject Fuzzy Logic en
dc.subject Knowledge Representation en
dc.subject Medical Application en
dc.subject.other Computer programming languages en
dc.subject.other Knowledge representation en
dc.subject.other Multimedia services en
dc.subject.other Query processing en
dc.subject.other Uncertainty analysis en
dc.subject.other Fuzzy CARIN en
dc.subject.other Fuzzy description logics en
dc.subject.other Horn rules en
dc.subject.other Fuzzy logic en
dc.title Expressive reasoning with horn rules and fuzzy description logics en
heal.type conferenceItem en
heal.identifier.primary 10.1007/978-3-540-72982-2_4 en
heal.identifier.secondary http://dx.doi.org/10.1007/978-3-540-72982-2_4 en
heal.publicationDate 2007 en
heal.abstract This essay describes fuzzy CARIN, a knowledge representation language combining fuzzy description logics with Horn rules. Fuzzy CARIN integrates the management of fuzzy logic into the non-recursive CARIN system. It provides a sound and complete algorithm for representing and reasoning about fuzzy ALCNR. extended with non-recursive Horn rules. Such an extension is most useful in realistic applications dealing with uncertainty and imprecision, such as multimedia processing and medical applications. Additionally, it provides the ability of answering to union of conjunctive queries, which is a novelty not previously addressed by fuzzy DL systems. © Springer-Verlag Berlin Heidelberg 2007. en
heal.journalName Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) en
dc.identifier.doi 10.1007/978-3-540-72982-2_4 en
dc.identifier.volume 4524 LNCS en
dc.identifier.spage 43 en
dc.identifier.epage 57 en


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