Real-world applications of Bayesian networks
Communications of the ACM
Weaving the Web: The Original Design and Ultimate Destiny of the World Wide Web by Its Inventor
Weaving the Web: The Original Design and Ultimate Destiny of the World Wide Web by Its Inventor
Importing the Semantic Web in UDDI
CAiSE '02/ WES '02 Revised Papers from the International Workshop on Web Services, E-Business, and the Semantic Web
P-SHOQ(D): A Probabilistic Extension of SHOQ(D) for Probabilistic Ontologies in the Semantic Web
JELIA '02 Proceedings of the European Conference on Logics in Artificial Intelligence
Bayesian Artificial Intelligence
Bayesian Artificial Intelligence
The Semantic Web: A Guide to the Future of XML, Web Services, and Knowledge Management
The Semantic Web: A Guide to the Future of XML, Web Services, and Knowledge Management
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
The description logic handbook
A Probabilistic Extension to Ontology Language OWL
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 4 - Volume 4
Bayesian semantics for the semantic web
Bayesian semantics for the semantic web
A GUI Tool for Plausible Reasoning in the Semantic Web using MEBN
ISDA '07 Proceedings of the Seventh International Conference on Intelligent Systems Design and Applications
MEBN: A language for first-order Bayesian knowledge bases
Artificial Intelligence
Efficient RDF data management including provenance and uncertainty
Proceedings of the Fourteenth International Database Engineering & Applications Symposium
An ontology-based approach for constructing Bayesian networks
Data & Knowledge Engineering
Trends and issues in description logics frameworks for image interpretation
SETN'10 Proceedings of the 6th Hellenic conference on Artificial Intelligence: theories, models and applications
Building and evaluating context-aware collaborative working environments
Information Sciences: an International Journal
Inducing and storing generalised evidences using semantic web formalisms
HIKM '12 Proceedings of the Fifth Australasian Workshop on Health Informatics and Knowledge Management - Volume 129
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This 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 present PR-OWL, a probabilistic extension to the OWL web ontology language that allows legacy ontologies to interoperate with newly developed probabilistic ontologies. PR-OWL moves 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 can be seen 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. In order to fully present the concepts behind PR-OWL, we also cover Multi-Entity Bayesian Networks (MEBN), the Bayesian first-order logic supporting the language, and UnBBayes-MEBN, an open source GUI and reasoner that implements PR-OWL concepts. Finally, a use case of PR-OWL probabilistic ontologies is illustrated here in order to provide a grasp of the potential of the framework.