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Informatik 5
Information Systems
Prof. Dr. M. Jarke
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Research field Engineering Information Systems
Parent project IMPROVE
Status completed

Goal-Driven Information Flow Management


This subproject aims at the improvement of information flows in chemical process design. To efficiently support the manifold information flows in a chemical process design one has not only to deal with syntactically and semantically heterogeneous information but also with sufficient actuality, access control and the danger of information overloading. The idea is a Process Data Warehouse (PDW), which collects and transforms selectively and incrementally required information from the engineering process. 


Conceptual modeling formalism and concept based PDW architectures were revised. Adaptations to the chemical engineering domain were identified and implemented. A usage scenario developed with external partners then successfully validated the approach.

Future Work

Actual work concentrates on broadening the conceptual modeling approach and developing techniques for a semi-automatic propagation of the information model from distributed and heterogeneous data sources, like databases, document management systems, among others. This requires a rigorous analysis of the interaction between data-oriented and document-oriented management systems.

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Project Publications

Marcus Raddatz, Marcus Schlüter, Sebastian Brandt, Matthias Jarke, Tom Grimbach, Martin Weck

Identification and Reuse of Experience Knowledge in Continuous Production Processes

9th IFAC Symposium on Automated Systems Based on Human Skill and Knowledge, Nancy, May 22nd-24th, 2006.

More publications…