A Context-based Transformation of Highlevel Conceptual Query Trees
Bär, David · Repository for Publications and Research Data (ETH Zurich) · 2004
Creating a unified view on structured data residing in different, heterogeneous data sources is a problem that exists in many application domains.Various approaches have been proposed to address it.In this thesis, a different approach is taken by using an existing, ontology based querying tool and extending it to cope with heterogeneous data sources.The approach uses a mapping from ontology symbols to data source symbols on a high-level query tree.A RDF (Resource Description Framework) compliant description of data sources is proposed.Furthermore, a prototype implementation is presented.The approach is compared with other, description logic based, data integration approaches.