Abstract
The development of mathematical models is a basic as well as a knowledge-intensive activity of the engineering disciplines and applied sciences. The modelling process involves actions and data that have great influence on the way the implementation of a model can be applied for a particular task, reused (on a component base) or extended. However, much of the corresponding information gets lost. In the area of scientific work, publications and reports are available as complementary information sources for models together with data sources resulting from experimental work used for model development. Concerning models for physico-chemical processes, this information base is, in practice, often not sufficient and cannot be retrieved and accessed in a convenient way. At this point, the well-known methodology of ontology-based information integration provides a promising approach. The basic idea and design principles of ontologies as common data models as well as the idea of information integration is explained. A concept for the enrichment and integration of different information resources concerning mathematical models is described, which combines the documentation of models and the management of related information resources.
Published Version
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