Reasoning with the Fuzzy Description Logic fZSI

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Proceedings titleProceedings of the International Conference on Fuzzy Computation (ICFC 2010)
ConferenceInternational Conference on Fuzzy Computation, October 24-26, 2010, Valencia, Spain
Pages# of pages: 10
SubjectSemantic Web; Uncertain Knowledge; Description Logic; Fuzzy Logic; Linear Programming
AbstractWhile applications in different areas have shown the necessity of dealing with uncertain knowledge, Semantic Web techniques based on standard Description Logics do not have such a capability. Motivated by this discrepancy, we introduce an expressive fuzzy description logic, fZSI , which extends the classic Description Logic SI to deal with uncertain knowledge about concepts and roles as well as instances of concepts and roles. In the family of Fuzzy Logics it is semantically based on Zadeh Logic, which naturally interprets uncertain knowledge about concepts and roles as fuzzy sets and fuzzy relations, and interprets uncertain knowledge about instances as elements with degrees of membership. The paper focuses on several reasoning methods for the main reasoning problems in fZSI , including consistency checking, instance range entailment, and f-retrieval problems.
Publication date
AffiliationNational Research Council Canada (NRC-CNRC); NRC Institute for Information Technology
Peer reviewedYes
NPARC number16352304
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Record identifier4088e3d9-d1e3-49de-a238-b5809978a818
Record created2010-11-10
Record modified2016-05-09
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