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G. Kappel, H. Kargl, G. Kramler, A. Schauerhuber, M. Seidl, M. Strommer, M. Wimmer:
"Matching Metamodels with Semantic Systems - An Experience Report";
Talk: Model Management und Metadaten-Verwaltung BTW 2007 Workshop, Aachen; 2007-03-05 - 2007-03-09; in: "Datenbanksysteme in Business, Technologie und Web (BTW 2007), Workshop Proceedings", Verlag Mainz, (2007), ISBN: 3-86130-929-7; 38 - 52.

Ontology and schema matching are well established techniques, which
have been applied in various integration scenarios, e.g., web service composition and
database integration. Consequently, matching tools enabling automatic matching of
various kinds of schemas with various matching techniques are available. In the field
of model-driven engineering, in contrast to schema and ontology integration, the in-
tegration of modeling languages relies on manual tasks such as writing model trans-
formation code, which is tedious and error-prone. Therefore, we propose the applica-
tion of ontology and schema matching techniques for automatically exploring seman-
tic correspondences between metamodels, which are currently the modeling language
definitions of choice. The main focus of this paper is on reporting preliminary results
and lessons learned by evaluating currently available ontology matching tools for their
metamodel matching potential.

http://publik.tuwien.ac.at/files/pub-inf_4568.pdf

Project Head Gerti Kappel:
ModelCVS: Eine semantische Infrastruktur für modellbasierte Toolintegration