A Bayesian Approach to Uncertainty Modeling in OWL Ontology

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dc.contributor.authorDing, Zhongli
dc.contributor.authorPeng, Yun
dc.contributor.authorPan, Rong
dc.date.accessioned2018-12-12T19:22:27Z
dc.date.available2018-12-12T19:22:27Z
dc.date.issued2004-11-15
dc.descriptionProceedings of the International Conference on Advances in Intelligent Systems - Theory and Applicationsen
dc.description.abstractDealing with uncertainty is crucial in ontology engineering tasks such as domain modeling, ontology reasoning, and concept mapping between ontologies. This paper presents our on-going research on modeling uncertainty in ontologies based on Bayesian networks (BN). This includes 1) extending OWL to allow additional probabilistic markups for attaching probability information, 2) directly converting a probabilistically annotated OWL ontology into a BN structure by a set of structural translation rules, and 3) constructing the conditional probability tables (CPTs) of this BN using a new method based on iterative proportiobal fitting procedure (IPFP). The translated BN can support more accurate ontology reasoning under uncertainty as Bayesian inferences.en
dc.description.sponsorshipThis work was supported in part by DARPA contract F30602-97-1-0215.en
dc.description.urihttps://ebiquity.umbc.edu/paper/html/id/204/A-Bayesian-Approach-to-Uncertainty-Modeling-in-OWL-Ontologyen
dc.format.extent9 pagesen
dc.genreconference papers and proceedings preprintsen
dc.identifierdoi:10.13016/M23J3951P
dc.identifier.urihttp://hdl.handle.net/11603/12236
dc.language.isoenen
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectbayesian networksen
dc.subjectontologyen
dc.subjectsemantic weben
dc.subjectuncertainityen
dc.subjectUMBC Ebiquity Research Groupen
dc.titleA Bayesian Approach to Uncertainty Modeling in OWL Ontologyen
dc.typeTexten

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