Information Integration with Bayesian Description Logic Programs
Livia Predoiu · 2006
In this paper, we present a novel approach for information integration usable in many different web and network environments. The knowledge representation formalism of Description Logic Programs (DLPs) is well known in the Semantic Web community as a qualified Information Integration language. This is due to its property of being the intersection between the established knowledge representation formalisms of Description Logics and Logic Programming. In this paper, we take the DLPs a step further and extend them with probabilities. Furthermore, we suggest a framework for Information Integration by using these so-called