A Social Vision of Knowledge Representation and Reasoning

Authors:
François Bry;Jakub Kotowski
Affiliations:
Institute for Informatics, University of Munich, München, Germany 80538;Institute for Informatics, University of Munich, München, Germany 80538
Venue:
SOFSEM '10 Proceedings of the 36th Conference on Current Trends in Theory and Practice of Computer Science
Year:
2009

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Abstract

Knowledge representation and reasoning so far have focused on the ideal ultimate goal, thus stressing logical consistency and semantic homogeneity. On the way to consistent and homogenous knowledge representation and reasoning, inconsistencies and divergent opinions often have to be dealt with. In this article, a social vision of knoweldge representation is proposed which accomodates conflicting views that possibly even result in logical inconsistencies; reasoning is used to track divergent, possibly incompatible viewpoints. This approach to knowledge repsresentation and reasoning has been developped for a social software, a social semantic wiki.