Representing uncertainty in RuleML

Damasio, CV; Pan, JZ; Stoilos, G; Straccia, U

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