PR-OWL: A Bayesian Ontology Language for the Semantic Web
Uncertainty Reasoning for the Semantic Web I
Probabilistic Ontologies for Multi-INT Fusion
Proceedings of the 2010 conference on Ontologies and Semantic Technologies for Intelligence
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As the work with semantics and services grows more ambitious in the Semantic Web community, there is an increasing appreciation on the need for principled approaches for representing and reasoning under uncertainty. Reacting to this trend, the World Wide Web Consortium (W3C) has recently created the Uncertainty Reasoning for the World Wide Web Incubator Group (URW3-XG) to better define the challenge of reasoning with and representing uncertain information available through the World Wide Web and related WWW technologies. In according to the URW3-XG effort this paper presents the implementation of a graphical user interface for building probabilistic ontologies, an application programming interface for saving and loading these ontologies and a proposal to specify formulas for creating conditional probabilistic tables dynamically. The language used for building probabilistic ontologies is Probabilistic OWL (Pr-OWL), an extension for OWL based on Multi-Entity Bayesian Network (MEBN).