Paskaleva, G., Mazak-Huemer, A., Sint, S., & Bednar, T. (2022). Standardized Data Integration in the AEC Domains – What does it take to succeed? In IOP Conference Series: Earth and Environmental Science (p. 082034). https://doi.org/10.34726/3551
E207-02 - Forschungsbereich Bauphysik E194-03 - Forschungsbereich Business Informatics
-
Published in:
IOP Conference Series: Earth and Environmental Science
-
Volume:
1101
-
Date (published):
2022
-
Event name:
World Building Congress 2022 - Building our Future: Informing practice to enhance the lives of current and future generations
en
Event date:
27-Jun-2022 - 30-Jun-2022
-
Event place:
Melbourne, Australia
-
Number of Pages:
11
-
Peer reviewed:
Yes
-
Keywords:
data integration; information exchange; semantics
en
Abstract:
Data models are the backbone of digital information exchange, since they contain the structure of data to be exchanged. Just as information requirements vary, so do data models - in level of detail, level of abstraction, and domain coverage. Due to these differences, communication between some data models is easy and between others is difficult. Regarding the Building Information Model (BIM) initiative, the IFC standard data model varies in detail, abstraction level, and large domain coverage. In contrast, the Austrian ÖGG-guideline has a consistent detail and abstraction level focusing on a single domain, subsurface engineering. In order to participate in a loss- and distortion-free information exchange, a reliable translation via a multitude of data models is a must-have. 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 CAEX and SIMULTAN. We will show that translating data models are an indispensable part of the data model infrastructure even within a single domain. For evaluation purpose, we demonstrate our approach on a subsurface engineering use case.
en
Project title:
Open Building Automation Modelling - Offene Modellierung der Gebäudeautomation über den gesamten Gebäudelebenszyklus: FO999886982 (FFG - Österr. Forschungsförderungs- gesellschaft mbH)
-
Project (external):
Federal Ministry of Education, Science and Research