The Development of Ontology Information System Based on Bayesian Network and Learning

One main advantage of ontology is the ability to support the sharing and reuse of formally represented knowledge by explicitly stating concepts, relations, and axioms in a domain. But traditional ontology construction is time-consuming and costly procedure. In this paper we present using Bayesian network and learning for building ontology-based information systems. In order to address this research issue, this paper proposes a novel method consisting of Bayesian Network and learning probability theorem to automatically construct ontology. RDF is recommended by W3C and can deal with the lack of standard to reuse or integrate existing ontology. The experimental results indicate that this method has great promise.