A Bayesian Network Approach to Ontology Mapping

Pan, R.; Ding, Z.; Yu, Y.; Peng, Y.
ISWC, 2005

This paper presents our ongoing effort on developing a principled
methodology for automatic ontology mapping based on BayesOWL, a probabilistic
framework we developed for modeling uncertainty in semantic web. In
this approach, the source and target ontologies are first translated into Bayesian
networks (BN); the concept mapping between the two ontologies are treated as
evidential reasoning between the two translated BNs. Probabilities needed for
constructing conditional probability tables (CPT) during translation and for

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