Representing uncertainty in RuleML

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dc.contributor.author Damasio, CV en
dc.contributor.author Pan, JZ en
dc.contributor.author Stoilos, G en
dc.contributor.author Straccia, U en
dc.date.accessioned 2014-03-01T01:29:05Z
dc.date.available 2014-03-01T01:29:05Z
dc.date.issued 2008 en
dc.identifier.issn 01692968 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/19124
dc.relation.uri http://www.scopus.com/inward/record.url?eid=2-s2.0-48249131691&partnerID=40&md5=f96a4aaaa5b6075f2acc592da0aa644f en
dc.relation.uri http://iospress.metapress.com/content/372831225246w518/ en
dc.relation.uri http://www.informatik.uni-trier.de/~ley/db/journals/fuin/fuin82.html#DamasioPSS08 en
dc.subject Fuzzy Rules en
dc.subject Semantic Web en
dc.subject Rule Based en
dc.subject.other Information theory en
dc.subject.other Query languages en
dc.subject.other Languages (traditional) en
dc.subject.other Rule-based languages en
dc.subject.other Linguistics en
dc.title Representing uncertainty in RuleML en
heal.type journalArticle en
heal.publicationDate 2008 en
heal.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 and vagueness. 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. It is detailed the important case of fuzzy rule languages. We hope this work can also provide some insights on how to cover uncertainty in the RIF framework. en
heal.journalName Fundamenta Informaticae en
dc.identifier.volume 82 en
dc.identifier.issue 3 en
dc.identifier.spage 265 en
dc.identifier.epage 288 en

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