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ICAI
2009

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BayesOWL: A Prototype System for Uncertainty in Semantic Web

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BayesOWL: A Prototype System for Uncertainty in Semantic Web

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: Previously we have proposed a theoretical framework, called BayesOWL, to model uncertainty in semantic web ontologies based on Bayesian networks. In particular, we have developed a set of rules and algorithms to translate an OWL taxonomy into a BN. In this paper, we describe our implementation of BayesOWL framework together with examples of its use.

Shenyong Zhang, Yi Sun, Yun Peng, Xiaopu Wang

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Artificial Intelligence | Bayesian Networks | ICAI 2009 | Semantic Web Ontologies | Theoretical Framework |

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Added	18 Feb 2011
Updated	18 Feb 2011
Type	Journal
Year	2009
Where	ICAI
Authors	Shenyong Zhang, Yi Sun, Yun Peng, Xiaopu Wang

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