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dc.contributor.authorKumova, Bora İsmail
dc.date.accessioned2018-02-22T08:31:06Z
dc.date.available2018-02-22T08:31:06Z
dc.date.issued2015
dc.identifier.citationKumova, B. İ. (2015). Generating ontologies from relational data with fuzzy-syllogistic reasoning. Communications in Computer and Information Science, 521, 21-32. doi:10.1007/978-3-319-18422-7_2en_US
dc.identifier.issn1865-0929
dc.identifier.urihttp://doi.org/10.1007/978-3-319-18422-7_2
dc.identifier.urihttp://hdl.handle.net/11147/6823
dc.description.abstractExisting standards for crisp description logics facilitate information exchange between systems that reason with crisp ontologies. Applications with probabilistic or possibilistic extensions of ontologies and reasoners promise to capture more information, because they can deal with more uncertainties or vagueness of information. However, since there are no standards for either extension, information exchange between such applications is not generic. Fuzzy-syllogistic reasoning with the fuzzy-syllogistic system4S provides 2048 possible fuzzy inference schema for every possible triple concept relationship of an ontology. Since the inference schema are the result of all possible set-theoretic relationships between three sets with three out of 8 possible fuzzy-quantifiers, the whole set of 2048 possible fuzzy inferences can be used as one generic fuzzy reasoner for quantified ontologies. In that sense, a fuzzy syllogistic reasoner can be employed as a generic reasoner that combines possibilistic inferencing with probabilistic ontologies, thus facilitating knowledge exchange between ontology applications of different domains as well as information fusion over them.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.relation.isversionof10.1007/978-3-319-18422-7_2en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectFuzzy logicen_US
dc.subjectOntology learningen_US
dc.subjectRelational database systemsen_US
dc.subjectSyllogistic reasoningen_US
dc.titleGenerating ontologies from relational data with fuzzy-syllogistic reasoningen_US
dc.typearticleen_US
dc.contributor.iztechauthorKumova, Bora İsmail
dc.relation.journalCommunications in Computer and Information Scienceen_US
dc.contributor.departmentİYTE, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.identifier.volume521en_US
dc.identifier.startpage21en_US
dc.identifier.endpage32en_US
dc.identifier.wosWOS:000373729000002
dc.identifier.scopusSCOPUS:2-s2.0-84929457580
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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