Information Sharing for the Semantic Web -a Schema Transformation Approach

This paper proposes a framework for transforming and integrating heterogeneous XML data sources, making use of known correspondences from them to ontologies expressed in the form of RDFS schemas. Our algorithms generate schema transformation/integration rules which are implemented in the AutoMed heterogeneous data integration system. The paper first illustrates how correspondences to a single ontology can be exploited. The approach is then extended to the case where correspondences may refer to multiple ontologies, themselves interconnected via schema transformation rules. The contribution of this research is a set of automatic, XML-specific algorithms for the transformation and integration of XML data, making use of RDFS ontologies as a ‘semantic bridge’.