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G. Stoilos, G. Stamou, V. Tzouvaras, J.Z. Pan, I. Horrocks
A Fuzzy Description Logic for Multimedia Knowledge Representation
Proc. of the International Workshop on Multimedia and the Semantic Web
ABSTRACT
Today quite a lot of multimedia systems and applications use knowledge representation formalisms to encode and reason with knowledge that exists within the multimedia documents. The goal of this direction is to narrow the semantic gab between the content of a multimedia object, as perceived by a human being, and as ``viewed" by an information system. Ontologies are quite often used to capture such a knowledge. Ontology languages are based on Description Logics, which though they are expressive enough, they lack the ability to encode and reason with imprecise knowledge. To this end we extend the DL language si with fuzzy set theory and provide sound and complete reasoning algorithms for the extended language.
29 May , 2005
G. Stoilos, G. Stamou, V. Tzouvaras, J.Z. Pan, I. Horrocks, "A Fuzzy Description Logic for Multimedia Knowledge Representation", Proc. of the International Workshop on Multimedia and the Semantic Web
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