Title :
Reasoning about Situation Similarity
Author :
Anagnostopoulos, Christos B. ; Ntarladimas, Yiorgos ; Hadjiefthymiades, Stathes
Author_Institution :
Dept. of Informatics & Telecommun., Athens Univ.
Abstract :
Conceptual modeling is viewed as a promising means to represent contextual knowledge, which may be enriched with semantics. Such modeling is capable of describing situations context, as well as, reasoning about it. Moreover, situational reasoning is attained taking into consideration similarity-based approaches. This paper proposes approximate reasoning about situations similarity using ontological modeling, description logics representation, and fuzzy logic inference rules
Keywords :
fuzzy logic; fuzzy reasoning; ontologies (artificial intelligence); conceptual modeling; contextual knowledge representation; description logic representation; fuzzy logic inference rule; ontological modeling; situation similarity reasoning; situational reasoning; Context awareness; Context modeling; Fuzzy logic; Intelligent systems; Ontologies; Pervasive computing; Position measurement; Q measurement; Resource description framework; Taxonomy; Conceptual similarity; approximate reasoning; fuzzy logic; ontological engineering; situation awareness;
Conference_Titel :
Intelligent Systems, 2006 3rd International IEEE Conference on
Conference_Location :
London
Print_ISBN :
1-4244-01996-8
Electronic_ISBN :
1-4244-01996-8
DOI :
10.1109/IS.2006.348402
