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@PHDTHESIS{Oraskari:996510,
      author       = {Oraskari, Jyrki Tuure},
      othercontributors = {Beetz, Jakob and Brell-Cokcan, Sigrid},
      title        = {{L}inked building data management},
      school       = {Rheinisch-Westfälische Technische Hochschule Aachen},
      type         = {Dissertation},
      address      = {Aachen},
      publisher    = {RWTH Aachen University},
      reportid     = {RWTH-2024-10650},
      pages        = {1 Online-Ressource : Illustrationen},
      year         = {2024},
      note         = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
                      University 2025; Dissertation, Rheinisch-Westfälische
                      Technische Hochschule Aachen, 2024},
      abstract     = {The construction industry has embraced digital technologies
                      more slowly than other industries, and fragmentedly. The
                      coordinated exchange and synchronization of information
                      across company boundaries inherently involve communication
                      across heterogeneous software environments, which causes
                      interoperability challenges. Open standards, mainly Linked
                      Building Data, are a potential means of overcoming these
                      challenges. To tackle the sheer volume of data, I have
                      studied various aspects of Linked Building Data management,
                      including supervision of the data, provision of information,
                      managing versioning, data availability, confidentiality, and
                      integrity. Furthermore, considerations of how this can
                      fulfil the ISO 19650 vision of the most mature building
                      information framework have been regarded.},
      cin          = {211220 / 211510},
      ddc          = {720},
      cid          = {$I:(DE-82)211220_20140620$ / $I:(DE-82)211510_20170101$},
      pnm          = {BMDV 19OI22009F - Verbundprojekt: Edge, KI und 5G
                      Campusnetze in nomadischer Anwendung für das Management von
                      Baustellen - EConoM -; Teilvorhaben: Rheinisch-Westfälische
                      Technische Hochschule Aachen (19OI22009F) / BIM4REN -
                      Building Information Modelling based tools $\&$ technologies
                      for fast and efficient RENovation of residential buildings
                      (820773)},
      pid          = {G:(BMDV)19OI22009F / G:(EU-Grant)820773},
      typ          = {PUB:(DE-HGF)11},
      doi          = {10.18154/RWTH-2024-10650},
      url          = {https://publications.rwth-aachen.de/record/996510},
}