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.

• Type: Journal
• Year: 2009
• Where: ICAI
• Authors: Shenyong Zhang, Yi Sun, Yun Peng, Xiaopu Wang
• Keywords: Artificial Intelligence, Bayesian Networks, ICAI 2009, Semantic Web Ontologies, Theoretical Framework