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BOT: The building topology ontology of the W3C linked building data group

  • Mads Holten Rasmussen (Corresponding author)
  • , Maxime Lefrançois
  • , Georg Ferdinand Schneider
  • , Pieter Pauwels

Research output: Contribution to journal › Article › Academic › peer-review

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Abstract

Actors in the Architecture, Engineering, Construction, Owner and Operation (AECOO) industry traditionally exchange building models as files. The Building Information Modelling (BIM) methodology advocates the seamless exchange of all information between related stakeholders using digital technologies. The ultimate evolution of the methodology, BIM Maturity Level 3, envisions interoperable, distributed, web-based, interdisciplinary information exchange among stakeholders across the life-cycle of buildings. The World Wide Web Consortium Linked Building Data Community Group (W3C LBD-CG) hypothesises that the Linked Data models and best practices can be leveraged to achieve this vision in modern web-based applications. In this paper, we introduce the Building Topology Ontology (BOT) as a core vocabulary to this approach. It provides a high-level description of the topology of buildings including storeys and spaces, the building elements they contain, and their web-friendly 3D models. We describe how existing applications produce and consume datasets combining BOT with other ontologies that describe product catalogues, sensor observations, or Internet of Things (IoT) devices effectively implementing BIM Maturity Level 3. We evaluate our approach by exporting and querying three real-life large building models.

Original languageEnglish
Pages (from-to)143-161
Number of pages19
JournalSemantic Web
Volume12
Issue number1
Early online date2020
DOIs
Publication statusPublished - 2021

Funding

After the initial release, BOT is developed continuously as a community effort by the W3C LBD CG. The authors are very thankful for the rewarding discussions in this forum, in the Linked Data in Architecture and Construction (LDAC) workshops and would like to clearly acknowledge all received inputs. We would like to thank Mathias Bonduel (@mathib) and Lucas Ver-helst (@LucasVerhelst) as well as the other CG members that have provided human readable labels and comments in their mother tongue to BOT. We would like to thank the reviewers Simon Scheider, Yingjie Hu, and Tomi Kauppinen, for their valuable feedback towards improving this paper, and also Antoine Zim-mermann and Iker Esnaola-Gonzalez for their constructive comments on the first version of this article. Part of the work on BOT has been funded by the NI-RAS ALECTIA Foundation and Innovation Fund Denmark, the initiative Mittelstand 4.0 by the German Federal Ministry for Economic Affairs and Energy, the French ANR OpenSensingCity project, and ENGIE.

Keywords

  • building information modelling
  • building topology ontology
  • Linked data
  • ontologies

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