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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 2014-03-01T01:33:29Z
dc.date.available 2014-03-01T01:33:29Z
dc.date.issued 2010 en
dc.identifier.issn 0219-1377 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/20442
dc.subject Conjunctive queries en
dc.subject Existential entailment en
dc.subject Fuzzy CARIN en
dc.subject Fuzzy description logics en
dc.subject Horn rules en
dc.subject.classification Computer Science, Artificial Intelligence en
dc.subject.classification Computer Science, Information Systems en
dc.title Expressive reasoning with horn rules and fuzzy description logics en
heal.type journalArticle en
heal.identifier.primary 10.1007/s10115-010-0304-1 en
heal.identifier.secondary http://dx.doi.org/10.1007/s10115-010-0304-1 en
heal.language English en
heal.publicationDate 2010 en
heal.abstract In this paper, we describe 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 language. We introduce the decision problems of answering to conjunctive queries, unions of conjunctive queries and the existential entailment problem and provide a sound and complete algorithm that permits reasoning with the DL fuzzy ALCNR extended with non-recursive Horn rules. This extension is most useful in realistic applications that handle uncertain or imprecise data such as multimedia processing and medical applications. © 2010 Springer-Verlag London Limited. en
heal.publisher SPRINGER LONDON LTD en
heal.journalName Knowledge and Information Systems en
dc.identifier.doi 10.1007/s10115-010-0304-1 en
dc.identifier.isi ISI:000282514300006 en
dc.identifier.volume 25 en
dc.identifier.issue 1 en
dc.identifier.spage 105 en
dc.identifier.epage 136 en


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