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Building Information Modeling pp 43–62Cite as

Data Modeling

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Abstract

When modeling buildings and infrastructure systems using a computer, it is not sufficient to look solely at geometric data; semantic data also has to be considered. This includes, for example, data about construction methods, materials and the functions of rooms. In order to properly describe and structure this type of information, several different data modeling concepts are currently being applied. This chapter introduces the most essential data modeling notations and concepts, such as entities and objects, entity types and classes, attributes, relationships and associations, aggregations and compositions as well as specialization and generalization (inheritance). Finally, we examine current and future challenges related to data modeling within the AEC/FM domain.

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References

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Author information

Authors and Affiliations

  1. Chair of Intelligent Technical Design, Bauhaus-Universität Weimar, Weimar, Germany

    Christian Koch

  2. Chair of Computing in Engineering, Ruhr-Universität Bochum, Bochum, Germany

    Markus König

Authors
  1. Christian Koch
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  2. Markus König
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Corresponding author

Correspondence to Christian Koch .

Editor information

Editors and Affiliations

  1. Chair of Computational Modeling and Simulation, Technical University of Munich, München, Germany

    André Borrmann

  2. Lehrstuhl für Informatik im Bauwesen, Ruhr-Universität Bochum, Bochum, Germany

    Markus König

  3. Chair of Intelligent Technical Design, Bauhaus-Universität Weimar, Weimar, Germany

    Christian Koch

  4. Chair of Design Computation, RWTH Aachen University, Aachen, Germany

    Jakob Beetz

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Koch, C., König, M. (2018). Data Modeling. In: Borrmann, A., König, M., Koch, C., Beetz, J. (eds) Building Information Modeling. Springer, Cham. https://doi.org/10.1007/978-3-319-92862-3_3

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  • DOI: https://doi.org/10.1007/978-3-319-92862-3_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-92861-6

  • Online ISBN: 978-3-319-92862-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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