Reasoning about Situation Similarity

Author

Anagnostopoulos, Christos B. ; Ntarladimas, Yiorgos ; Hadjiefthymiades, Stathes

Author_Institution

Dept. of Informatics & Telecommun., Athens Univ.

fYear

2006

fDate

Sept. 2006

Firstpage

109

Lastpage

114

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IS.2006.348402

Filename

4155409