An Approach to Representing Uncertainty Rules in RuleML

Carlos Viegas Damasio, Jeff Z. Pan, Giorgos Stoilos, Umberto Straccia

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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
Original languageEnglish
Title of host publication2006 Second International Conference on Rules and Rule Markup Languages for the Semantic Web (RuleML'06)
EditorsThomas Eiter, Enrico Franconi, Ralph Hodgson, Susie Stephens
PublisherInstitute of Electrical and Electronics Engineers
Pages97-106
Number of pages10
ISBN (Print)0-7695-2652-7, 978-0-7695-2652-2
DOIs
Publication statusPublished - 19 Dec 2006
EventSecond International Conference on Rules and Rule Markup Languages for the Semantic Web 2006 - Athens, United States
Duration: 10 Nov 200611 Nov 2006
Conference number: 2
https://2006.ruleml.org/

Conference

ConferenceSecond International Conference on Rules and Rule Markup Languages for the Semantic Web 2006
Abbreviated titleRuleML-2006
Country/TerritoryUnited States
CityAthens
Period10/11/0611/11/06
Internet address

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