PR-OWL: A Bayesian Framework for the Semantic Web

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dc.contributor.authorCosta, Paulo C. G.
dc.contributor.authorLaskey, Kathryn B.
dc.contributor.authorLaskey, Kenneth J.
dc.date.accessioned2006-01-27T23:10:12Z
dc.date.available2006-01-27T23:10:12Z
dc.date.issued2005-11-07
dc.description.abstractThis paper addresses a major weakness of current technologies for the Semantic Web, namely the lack of a principled means to represent and reason about uncertainty. This not only hinders the realization of the original vision for the Semantic Web, but also creates a barrier to the development of new, powerful features for general knowledge applications that require proper treatment of uncertain phenomena. We propose to extend OWL, the ontology language recommended by the World Wide Web Consortium (W3C), to provide the ability to express probabilistic knowledge. The new language, PR-OWL, will allow legacy ontologies to interoperate with newly developed probabilistic ontologies. PR-OWL will move beyond the current limitations of deterministic classical logic to a full first-order probabilistic logic. By providing a principled means of modeling uncertainty in ontologies, PR-OWL will serve as a supporting tool for many applications that can benefit from probabilistic inference within an ontology language, thus representing an important step toward the W3C’s vision for the Semantic Web.
dc.format.extent845006 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.citationCosta, Paulo C. G.; Laskey, Kathryn B.; and Laskey, Kenneth J. (2005) PR-OWL: A Bayesian Framework for the Semantic Web. Proceedings of the first workshop on Uncertainty Reasoning for the Semantic Web (URSW 2005), held at the Fourth International Semantic Web Conference (ISWC 2004). November, 6-10 2005, Galway, Ireland.
dc.identifier.urihttps://hdl.handle.net/1920/454
dc.language.isoen_US
dc.relation.ispartofseriesC4I-05-06
dc.subjectPR-OWL
dc.subjectProbabilistic OWL
dc.subjectProbabilistic ontologies
dc.subjectMulti-entity Bayesian networks
dc.subjectSemantic Web
dc.subjectUncertainty reasoning
dc.subjectBayesian
dc.subjectOntology mapping
dc.titlePR-OWL: A Bayesian Framework for the Semantic Web
dc.typeArticle

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