Summary
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.
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Anagnostopoulos, C., Hadjiefthymiades, S. (2008). Imprecise Analogical and Similarity Reasoning about Contextual Information. In: Chountas, P., Petrounias, I., Kacprzyk, J. (eds) Intelligent Techniques and Tools for Novel System Architectures. Studies in Computational Intelligence, vol 109. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77623-9_6
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DOI: https://doi.org/10.1007/978-3-540-77623-9_6
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