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Second International Conference on Rules and Rule Markup Languages for the Semantic Web (RuleML'06)   pp. 97-106
An Approach to Representing Uncertainty Rules in RuleML
Carlos Viegas Damasio, Universidade Nova de Lisboa, Portugal
Jeff Z. Pan, University of Aberdeen, UK
Giorgos Stoilos, National Technical University of Athens, Greece
Umberto Straccia, ISTI - Italian National Research Council, Italy

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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/RULEML.2006.3
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Abstract
The RuleML initiative defines a normalized markup for expressing and exchange rules in the Semantic Web. However, the syntax of the language is still limited and lacks features for representing rule-based languages capable of handling uncertainty. It is desirable to have a general extension of RuleML which accommodates major existing languages proposed in the latest two decades. The main contribution of the paper is to propose such a general extension, showing how to encode many of the existing languages in this extension. We hope this work can also provide some insights on how to cover uncertainty in the RIF framework.
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Citation:  Carlos Viegas Damasio, Jeff Z. Pan, Giorgos Stoilos, Umberto Straccia, "An Approach to Representing Uncertainty Rules in RuleML," ruleml, pp. 97-106,  Second International Conference on Rules and Rule Markup Languages for the Semantic Web (RuleML'06),  2006