Uncertainty and RuleML rulebases: a preliminary report

Authors:
Giorgos Stoilos;Giorgos Stamou;Vassilis Tzouvaras;Jeff Z. Pan
Affiliations:
Department of Electrical and Computer Engineering, National Technical University of Athens, Zographou, Greece;Department of Electrical and Computer Engineering, National Technical University of Athens, Zographou, Greece;Department of Electrical and Computer Engineering, National Technical University of Athens, Zographou, Greece;School of Computer Science, The University of Manchester, Manchester, UK
Venue:
RuleML'05 Proceedings of the First international conference on Rules and Rule Markup Languages for the Semantic Web
Year:
2005

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Abstract

Uncertainty, like imprecision and vagueness, has gained considerable attention the last decade. To this extend we present a preliminary report on extending the Rule Markup Language (RuleML) with fuzzy set theory, in order to be able to represent and handle vague knowledge. We also provide semantics for the case of fuzzy FOL RuleML.