Enrichment and Preservation of Architectural Knowledge

  • Jakob Beetz
  • Ina Blümel
  • Stefan Dietze
  • Besnik Fetahui
  • Ujwal Gadiraju
  • Martin Hecher
  • Thomas Krijnen
  • Michelle Lindlar
  • Martin Tamke
  • Raoul Wessel
  • Ran Yu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10025)


In the context of the EU FP7 DURAARK project (2013–2016), inter-disciplinary methods, technologies and tools have been researched and developed, that support the Long Term Preservation of semantically enriched digital representations of built structures. The results of the research efforts include approaches of semi-automatically deriving building models from point cloud data sets acquired from laser scans and the integration and overlay of such representations with explicit Building Information Models (BIM). We introduce novel ways for the further semantic enrichment of such hybrid building models with contextual data and vocabularies from external resources using Linked Data (LD) and the recognition relevant features and building components. A special focus of the research reported here lies on strategies and policies for their long term archival, information retrieval based on rich semantic metadata and the use of such archival systems in research and commercial scenarios. We introduce a set of prototypical, open-source tools implementing these features that have been integrated into a modular preservation framework called the “DURAARK Workbench”.


Digital preservation Semantic enrichment Building Information Model Linked data Point clouds 



The work presented in this chapter has been funded by the German Research Foundation (DFG) and the European Community in the 7th Framework Program on Grant No. 600908.


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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Jakob Beetz
    • 1
  • Ina Blümel
    • 2
  • Stefan Dietze
    • 3
  • Besnik Fetahui
    • 3
  • Ujwal Gadiraju
    • 3
  • Martin Hecher
    • 5
  • Thomas Krijnen
    • 1
  • Michelle Lindlar
    • 2
  • Martin Tamke
    • 6
  • Raoul Wessel
    • 4
  • Ran Yu
    • 3
  1. 1.Eindhoven University of TechnologyEindhovenThe Netherlands
  2. 2.German National Library of Science and TechnologyHannoverGermany
  3. 3.L3S Research CenterLeibniz UniversityHannoverGermany
  4. 4.University of BonnBonnGermany
  5. 5.Fraunhofer AustriaGrazAustria
  6. 6.CITA Copenhagen Institute of Technology and ArchitectureCopenhagenDenmark

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