Semantic metadata mediation: XML, RDF and RuleML

This work is situated in the general context of stored information heterogeneity in a decisional system such as data, metadata and knowledge, for cohabitation and reconciliation of these information by mediation. In this paper we focus on the heterogeneous metadata integration, with the definition of a structural and semantic mediation model. Our aim is to propose a mediation architecture for the heterogeneous sources metadata, represented by XML, RDF and RuleML model, providing to user the metadata transparency. This, by including data structures, of natures fundamentally different, and allowing the decomposition of a query involving multiple sources, to specific queries to these sources, then recompose the result. We use ontology for managing structural and semantic heterogeneity.