An approach to representing uncertainty rules in RuleML

Carlos Viegas Damásio*, Jeff Z. Pan, Giorgos Stoilos, Umberto Straccia

*Corresponding author for this work

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

4 Citations (Scopus)

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 publicationProceedings - RuleML 2006
Subtitle of host publication2006 Second International Conference on Rules and Rule Markup Languages for the Semantic Web
Pages97-106
Number of pages10
DOIs
Publication statusPublished - 1 Dec 2006
EventRuleML 2006: 2006 Second International Conference on Rules and Rule Markup Languages for the Semantic Web - Athens, GA, United States
Duration: 10 Oct 200611 Oct 2006

Conference

ConferenceRuleML 2006: 2006 Second International Conference on Rules and Rule Markup Languages for the Semantic Web
CountryUnited States
CityAthens, GA
Period10/10/0611/10/06

ASJC Scopus subject areas

  • Computer Science(all)

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    Damásio, C. V., Pan, J. Z., Stoilos, G., & Straccia, U. (2006). An approach to representing uncertainty rules in RuleML. In Proceedings - RuleML 2006: 2006 Second International Conference on Rules and Rule Markup Languages for the Semantic Web (pp. 97-106). [4032396] https://doi.org/10.1109/RULEML.2006.3