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

Author:

Rasmussen Mads Holten1,Lefrançois Maxime2,Schneider Georg Ferdinand3,Pauwels Pieter4

Affiliation:

1. Department of Civil Engineering, Technical University of Denmark, Denmark. E-mail: mhoras@byg.dtu.dk

2. Mines Saint-Étienne, Univ Lyon, Univ Jean Monnet, IOGS, CNRS, UMR 5516, LHC, Institut Henri Fayol, F-42023 Saint-Étienne, France. E-mail: maxime.lefrancois@emse.fr

3. Fraunhofer Institute for Building Physics IBP and Technische Hochschule Nürnberg, Nürnberg, Germany. E-mail: georg.schneider@ibp.fraunhofer.de

4. Department of the Built Environment, Eindhoven University of Technology, Netherlands. E-mail: p.pauwels@tue.nl

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.

Publisher

IOS Press

Subject

Computer Networks and Communications,Computer Science Applications,Information Systems

Reference56 articles.

1. Brick

2. J. Beetz, W. van den Braak, R. Botter, S. Zlatanova and R. de Laat, Interoperable data models for infrastructural artefacts: A novel IFC extension method using RDF vocabularies exemplified with quay wall structures for harbors, in: EWork and EBusiness in Architecture, Engineering and Construction, CRC Press, Vienna, Austria, 2014, pp. 135–140.

3. J. Beetz, J. van Leeuwen and B. de Vries, An ontology web language notation of the industry foundation classes, in: Proceedings of the 22nd CIB W78 Conference on Information Technology in Construction, 2005, pp. 193–198.

4. IfcOWL: A case of transforming EXPRESS schemas into ontologies;Beetz;Artificial Intelligence for Engineering Design, Analysis and Manufacturing,2008

5. S. Bertelsen, Construction as a complex system, in: Proceedings of the 11th Annual Conference of the International Group for Lean Construction, 2003, pp. 143–168.

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