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Standardized Data Integration in the AEC Domains – What does it take to succeed?

  • Galina Paskaleva
  • , Alexandra Mazak
  • , Sabine Sint
  • , Thomas Bednar

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

Abstract

Data models are the backbone of digital information exchange, since they contain the data to be exchanged. Just as information requirements vary, so do data models – in level of detail, level of abstraction, and in domain coverage. These variations are the reason for the ease of communication between some data models and for the difficulty in communication between others. Regarding the Building Information Model (BIM) initiative, the IFC standard’s data model has varying detail and abstraction levels and large domain coverage. In contrast, the Austrian ÖGG guideline, for example, has a consistent detail and abstraction level and focuses on a single domain – subsurface modelling. In order for such data models to participate in loss- and distortion-free information exchange, a reliable translation via, e.g., third data models is necessary. In this paper, we present formal criteria for distinguishing between semantics-carrying data models, such as IFC and ÖGG, and translating data models that provide reliable communication bridges between them, such as XML, CAEX and SIMULTAN. We will show that translating data models are an indispensable part of the data model infrastructure even within a single domain. In addition, we will derive the minimal set of attributes of such models and demonstrate their necessity on a use case from the subsurface engineering domain.
OriginalspracheEnglisch
TitelWBC 2022, World Building Congress, Melbourne, Australia, June 27-30, 2022.
Seitenumfang11
PublikationsstatusVeröffentlicht - Juni 2022

Wissenschaftszweige

  • 202017 Embedded Systems
  • 102006 Computer Supported Cooperative Work (CSCW)
  • 102015 Informationssysteme
  • 102016 IT-Sicherheit
  • 102020 Medizinische Informatik
  • 102022 Softwareentwicklung
  • 102027 Web Engineering
  • 102034 Cyber-Physical Systems
  • 509026 Digitalisierungsforschung
  • 502032 Qualitätsmanagement
  • 502050 Wirtschaftsinformatik
  • 503015 Fachdidaktik Technische Wissenschaften

JKU-Schwerpunkte

  • Digital Transformation

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