Imposing Modeling Rules on Industrial Applications through Meta-modeling

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Authors: Manfred Schoelzke, Peter Fröhlich, Zaijun Hu

Tags: 2001, conceptual modeling

There is a trend in the automation domain to create common conceptual models of an industrial plant, which serve different applications, like online displays, simulators, control systems, diagnostic tools and others. To master the complexity of such common models, modeling rules have to be enforced. Current solutions to this problem either rely on an informal definition of semantics or the semantics of one dedicated tool or language. In the current paper, we introduce a meta-modeling approach to provide and enforce such modeling rules. Our approach concisely defines consistency of conceptual models with respect to a meta model. We show how the approach is mapped to widely accepted general-purpose IT standards (like UML and XML) and tools.

Read the full paper here: https://link.springer.com/chapter/10.1007/3-540-46140-X_14