Imprecise analogical and similarity reasoning about contextual information

Anagnostopoulos, C. and Hadjiefthymiades, S. (2008) Imprecise analogical and similarity reasoning about contextual information. In: Chountas, P., Petrounias, I. and Kacprzyk, J. (eds.) Intelligent Techniques and Tools for Novel System Architectures. Series: Studies in computational intelligence, 109 (2). Springer Berlin Heidelberg: Berlin, Germany, pp. 99-119. ISBN 9783540776215 (doi:10.1007/978-3-540-77623-9_6)

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Publisher's URL: http://dx.doi.org/10.1007/978-3-540-77623-9_6

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 context, as well as, reasoning about it. Moreover, contextual reasoning is attained taking into consideration similarity-based approaches. This article proposes approximate reasoning about similarity among pieces of context using ontological modeling, description logics representation, and fuzzy logic inference rules. We report contextual similarity and fuzzy reasoning on top of logic based context semantics. Special emphasis is placed on similarity and analogical reasoning about context.

Item Type:Book Sections
Status:Published
Glasgow Author(s) Enlighten ID:Anagnostopoulos, Dr Christos
Authors: Anagnostopoulos, C., and Hadjiefthymiades, S.
College/School:College of Social Sciences > School of Social and Political Sciences > Politics
Publisher:Springer Berlin Heidelberg
ISSN:1860-949X
ISBN:9783540776215

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