论文信息 - BayesOWL: A Prototype System for Uncertainty in Semantic Web

BayesOWL: A Prototype System for Uncertainty in Semantic Web

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.

Yun Peng | Yi Sun | Shenyong Zhang | Xiaopu Wang

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