BIM Knowledge in Context: Linked (Meta)Data Towards Machine-interpretable Standards

Arghavan Akbarieh1, Goran Sibenik2, Marzia Bolpagni3,4
1 Eindhoven University of Technology, Netherlands, The
2 Singapore - ETH Centre
3 Mace
4 Northumbria University
DOI: 10.35490/EC3.2025.439
Abstract: Despite advancements in data connectivity and regulations in the construction industry, integrating standards in daily workflows has seen limited progress. The industry necessitates easier access to standards to accelerate its digitalisation. This research enhances access to BIM-related standards by developing, aligning and validating an ontology that includes standards’ metadata, terminology, and relationships. The proposed MNS ontology relates these standards to topics of interest for construction industry professionals, paving their easier access to relevant documents. It also makes first steps towards machine-interoperable standards. The ontology is open and quarriable, to serve a broader community, and ultimately to integrate standards in construction practices.
Keywords: Linked-data, Ontologies, Semantic Web Technologies, Standards

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