Comparison of Schema Matching Evaluations
Revised Papers from the NODe 2002 Web and Database-Related Workshops on Web, Web-Services, and Database Systems
A survey of approaches to automatic schema matching
The VLDB Journal — The International Journal on Very Large Data Bases
Eclipse Modeling Framework
Applying MDA Approach for Web Service Platform
EDOC '04 Proceedings of the Enterprise Distributed Object Computing Conference, Eighth IEEE International
EXSMAL: EDI/XML Semi-Automatic Schema Matching ALgorithm
CEC '05 Proceedings of the Seventh IEEE International Conference on E-Commerce Technology
Metamodel Matching for Automatic Model Transformation Generation
MoDELS '08 Proceedings of the 11th international conference on Model Driven Engineering Languages and Systems
International Journal of Information System Modeling and Design
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Nowadays, it is well recognized that model transformation is at the heart of model driven engineering approaches (MDE) and represents as a consequence one of the most important operation in MDE. However, despite the multitude of model transformation language proposals emerging from university and industry, these transformations are often created manually, which is a fastidious and error-prone task, and therefore an expensive process. In this context, we argue that the semi-automatic generation of transformation rules is an important challenge in future MDE development to make it easier, faster, and cost-reduced process. In this paper we propose to discuss metamodels matching as a key technique for a semi-automatic transformation process. First, we review and discuss the main approaches that have been proposed in the state of the art for metamodels matching. Secondly, we compare three algorithms of metamodel matching namely "Similarity Flooding", SAMT4MDE+ and ModelCVS using match quality measures proposed for schema matching in databases. A Plug-in under the Eclipse framework has been developed to support our comparison using three couple of metamodels.