A fuzzy extension in ALC description logics

Authors:
Vassilis Tzouvaras;Panagiotis Zoitos;Giorgos Stamou
Affiliations:
Image, Video and Multimedia Laboratory, Institute for Computer and Communication Systems, Department of Electrical and Computer Engineering, National Technical University of Athens, Greece;Image, Video and Multimedia Laboratory, Institute for Computer and Communication Systems, Department of Electrical and Computer Engineering, National Technical University of Athens, Greece;Image, Video and Multimedia Laboratory, Institute for Computer and Communication Systems, Department of Electrical and Computer Engineering, National Technical University of Athens, Greece
Venue:
AIKED'05 Proceedings of the 4th WSEAS International Conference on Artificial Intelligence, Knowledge Engineering Data Bases
Year:
2005

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Abstract

In this paper we propose some fuzzy extensions for the representation and the reasoning process which allow the treatment of multimedia object representation, retrieval and detection. Classical knowledge based systems are insufficient for describing multimedia situations since retrieval and detection are not usually situation of true or false. For this reason, we propose a fuzzy extension in ALC Description Logics based on the fuzzy interpretation and fuzzy triangular norms.