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Prof. Dr. M. Jarke
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RWTH Aachen
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Model Management

Year 2009
ISBN-10 0387355448
ISBN-13 978-0387355443

Model management comprises technologies and mechanisms to support the integration, transformation, evolution, and matching of models. It aims at supporting metadata-intensive applications such as database design, data integration, and data warehousing. To achieve this goal, a model management system has to provide definitions for models (i.e. schemas represented in some metamodel), mappings (i.e. relationships between different models), and operators (i.e. operations that manipulate models and mappings). Model management has become more and more important, since the interoperability and/or integration of heterogeneous information systems is a frequent requirement of organizations. Some important operations in model management are Merge (integration of two models), Match (creating a mapping between two models), and ModelGen (transforming a model given in one modeling language into a corresponding model in a different modeling language). The current understanding of model management focuses mainly on (but is not limited to) the management of data models. Most of the problems mentioned before have been already addressed separately and for specific applications. The goal now is to build a model management system (MMS) which unifies the previous approaches by providing a set of generic structures representing models and mappings, and the definition of generic operations on these structures. Such a system could then be used by an application to solve model management tasks.

Details

M. Tamer Özsu, Ling Liu (eds.): Encyclopedia of Database Systems. Springer, 2009.

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Encyclopedia of Database Systems , by M. Tamer Özsu, Ling Liu ; Springer , Berlin , DE .

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