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International Conference on Artificial Intelligence and Soft Computing

ICAISC 2018: Artificial Intelligence and Soft Computing pp 652–664Cite as

Building Knowledge Extraction from BIM/IFC Data for Analysis in Graph Databases

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10842))

Abstract

This paper deals with the problem of knowledge extraction and processing building related data. Information is retrieved from the IFC files, which are an industry standard for storing building information models (BIM). The IfcWebServer is used as a tool for transforming building information into the graph model. This model is stored in a graph database which allows for obtaining knowledge by defining specific graph queries. The process is illustrated by examples of extracting information needed to find different types of routes in an office building.

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Author information

Authors and Affiliations

  1. Institute of Construction Informatics, TU Dresden, 01062, Dresden, Germany

    Ali Ismail

  2. Department of Physics, Astronomy and Applied Computer Science, Jagiellonian University, Lojasiewicza 11, 30-348, Krakow, Poland

    Barbara Strug & Grażyna Ślusarczyk

Authors
  1. Ali Ismail
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  2. Barbara Strug
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  3. Grażyna Ślusarczyk
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Corresponding author

Correspondence to Grażyna Ślusarczyk .

Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Częstochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Częstochowa, Poland

    Rafał Scherer

  3. Częstochowa University of Technology, Częstochowa, Poland

    Marcin Korytkowski

  4. University of Alberta, Edmonton, AB, Canada

    Witold Pedrycz

  5. AGH University of Science and Technology, Kraków, Poland

    Ryszard Tadeusiewicz

  6. University of Louisville, Louisville, KY, USA

    Jacek M. Zurada

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Ismail, A., Strug, B., Ślusarczyk, G. (2018). Building Knowledge Extraction from BIM/IFC Data for Analysis in Graph Databases. In: Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2018. Lecture Notes in Computer Science(), vol 10842. Springer, Cham. https://doi.org/10.1007/978-3-319-91262-2_57

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  • DOI: https://doi.org/10.1007/978-3-319-91262-2_57

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-91261-5

  • Online ISBN: 978-3-319-91262-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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