From Data to Model Consistency in Shared Engineering Environments

  • Raimar J. Scherer
  • Peter Katranuschkov
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4200)


Collaborative and concurrent engineering can be greatly facilitated by enhanced interoperability and consistency of data and tools based on the use of common shared models. In the paper, we examine the situation in model-based collaborative work and discuss the different types of models that are needed and have to be dealt with in a shared engineering environment. On the basis of a generalized cooperation scenario we then address consistency problems related to the model data and present a set of methods for their solution, including model view extraction, model mapping, knowledge-based consistency checking, mo del matching, model reintegration and model merging.


Global Schema Building Information Model Model Consistency Object Pair Model View 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Ducq, Y., Chen, D., Vallespir, B.: Interoperability in Enterprise Modeling: Requirements and Roadmap. J. Advanced Engineering Informatics 18(4), 193–204 (2004)CrossRefGoogle Scholar
  2. 2.
    IAI: IFC2x Edition 3, Online documentation. © International Alliance for Interoperability (1996-2006), Available at:
  3. 3.
    Wix, J. (ed.) Information Delivery Manual: Using IFC to Build Smart (2005), Available at:
  4. 4.
    Gehre, A., Katranuschkov, P., Wix, J., Beetz, J.: InteliGrid Deliverable D31: Ontology Specification. The InteliGrid Consortium, c/o University of Ljubljana, Slovenia (2006)Google Scholar
  5. 5.
    Eastman, C.M.: Building Product Models: Computer Environments Supporting Design and Construction. CRC Press, Boca Raton (1999)Google Scholar
  6. 6.
    Fowler, J.: STEP for Data Management, Exchange and Sharing. Technology Appraisals Ltd., Twickenham (1995)Google Scholar
  7. 7.
    Amor, R., Faraj, I.: Misconceptions about Integrated Project Databases. ITcon 6 (2001)Google Scholar
  8. 8.
    Katranuschkov, P.: A Mapping Language for Concurrent Engineering Processes. Diss. Report, Institute of Construction Informatics, TU Dresden, Germany (2001)Google Scholar
  9. 9.
    Weise, M., Katranuschkov, P., Liebich, T., Scherer, R.J.: Structural Analysis Extension of the IFC Modelling Framework. ITcon 8 (2003), Available at:
  10. 10.
    Zeller, A.: Configuration Management with Version Sets. Ph.D. Thesis, TU Braunschweig, Germany (1997)Google Scholar
  11. 11.
    Weise, M.: An Approach for the Representation of Design Changes and its Use in Building Design (in German). PhD Thesis (submitted, May 2006), TU Dresden, Germany (2006)Google Scholar
  12. 12.
    Weise, M., Katranuschkov, P., Scherer, R.J.: Generalised Model Subset Definition Schema. In: Proc. CIB-W78 Conference 2003, Auckland, NZ (2003)Google Scholar
  13. 13.
    Eisfeld, M.: Assistance in Conceptual Design of Concrete Structures by a Description Logic Planner. PhD Thesis, Institute of Construction Informatics, TU Dresden, Germany (2005)Google Scholar
  14. 14.
    Spinner, A.: A Learning System for the Creation of Complex Commands in Programming Environments (in German). PhD Thesis, TH Darmstadt, Germany (1989)Google Scholar
  15. 15.
    Weise, M., Katranuschkov, P., Scherer, R.J.: Generic Services for the Support of Evolving Building Model Data. In: Proc. Xth ICCCBE, Weimar, Germany (2004)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Raimar J. Scherer
    • 1
  • Peter Katranuschkov
    • 1
  1. 1.Institute of Construction InformaticsTU DresdenDresdenGermany

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