NDLI: Reasoning about Situation Similarity

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Table of contents

Programme Committee

Message from the Conference Co-Chairs

2004 2nd International IEEE Conference on 'Intelligent Systems'. Proceedings (IEEE Cat. No.04EX791)

Proceedings First International IEEE Symposium Intelligent Systems

Reasoning about Situation Similarity

Content Provider	IEEE Xplore Digital Library
Author	Anagnostopoulos, C.B. Ntarladimas, Y. Hadjiefthymiades, S.
Copyright Year	2006
Description	Author affiliation: Dept. of Informatics & Telecommun., Athens Univ. (Anagnostopoulos, C.B.; Ntarladimas, Y.; Hadjiefthymiades, S.)
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
Starting Page	109
Ending Page	114
File Size	9109827
Page Count	6
File Format	PDF
ISBN	142440195X
DOI	10.1109/IS.2006.348402
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-09-04
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Ontologies Taxonomy Context modeling Fuzzy logic Resource description framework Context awareness Intelligent systems Position measurement Q measurement Pervasive computing fuzzy logic Conceptual similarity ontological engineering situation awareness approximate reasoning
Content Type	Text
Resource Type	Article

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