Title:	UNBBAYES-MEBN: COMMENTS ON IMPLEMENTING A PROBABILISTIC ONTOLOGY TOOL
Author(s):	Rommel N. Carvalho , Marcelo Ladeira , Laécio L. Santos , Shou Matsumoto , Paulo C. G. Costa
ISBN:	978-972-8924-56-0
Editors:	Nuno Guimarães and Pedro Isaías
Year:	2008
Edition:	Single
Keywords:	Multi-Entity Bayesian Network, Bayesian networks, probabilistic ontology Web, probabilistic reasoning, Semantic Web.
Type:	Full Paper
First Page:	211
Last Page:	218
Language:	English
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Full Contents:	click to dowload
Paper Abstract:	The quest for principled approaches to represent and reason under uncertainty in the Semantic Web (SW) is a very active research subject. Recently, the World Wide Web Consortium (W3C) created the Uncertainty Reasoning for the World Wide Web Incubator Group - URW3-XG [Laskey, K.J. et al., 2007] to better define the challenge of reasoning with and representing uncertain information available through the World Wide Web and related WWW technologies. One of the most promising approaches is the use of a Bayesian framework to handle uncertainty in SW ontologies. Working within this approach, Costa [2005] proposed a probabilistic ontology language, denoted PR-OWL, to represent and to reason with probabilistic ontologies. PR-OWL language is based on MEBN – Multi-Entity Bayesian Network [Laskey & Mahoney, 1997; Laskey & Costa, 2005; Laskey, 2007], a formalism that brings together the expressiveness of first-order logic (FOL) and the inferential power of Bayesian Networks (BN) to support probabilistic reasoning. Since both MEBN and PR-OWL are still under development, there is no tool that implements MEBN/PR-OWL as a knowledge representation formalism and probabilistic reasoner. This paper discusses the technical problems encountered, as well as how they were addressed in such an implementation that is currently under development at the University of Brasilia, with technical support from the C4I Center at George Mason University.
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