TY - JOUR
T1 - Federating cross-domain BIM-based knowledge graph
AU - Teclaw, Wojciech
AU - O'Donnel, James
AU - Kukkonen, Ville
AU - Pauwels, Pieter
AU - Labonnote, Nathalie
AU - Hjelseth, Eilif
N1 - Publisher Copyright:
© 2024 The Author(s)
PY - 2024/10
Y1 - 2024/10
N2 - Despite decades of the digitization of the construction industry, interoperability challenges prevail. One of which is the lack of sufficient integration between domain-specific BIM models. Therefore, the paper proposes a novel methodology for federating cross-domain BIM-based knowledge graphs. The approach leverages the integration of multiple models into a single knowledge graph, aiming to bridge the existing gaps in data exchange and enhance the semantic richness of building information models. Through a detailed exploration of existing data exchange mechanisms, popular ontologies, and schema limitations, this research addresses the interoperability dilemma. A practical demonstration, encapsulated in the “LBD-Online-Merge” demo application, validates the methodology's efficacy in real-world scenarios, illustrating its potential to revolutionize building operations management and data preparation for the operational phase of a building's lifecycle. This study significantly contributes to the academic and practical discourse by providing a robust framework for achieving a more integrated, intelligent building information management ecosystem, setting a new benchmark for future research and applications in constructing semantically rich digital twins of the built environment.
AB - Despite decades of the digitization of the construction industry, interoperability challenges prevail. One of which is the lack of sufficient integration between domain-specific BIM models. Therefore, the paper proposes a novel methodology for federating cross-domain BIM-based knowledge graphs. The approach leverages the integration of multiple models into a single knowledge graph, aiming to bridge the existing gaps in data exchange and enhance the semantic richness of building information models. Through a detailed exploration of existing data exchange mechanisms, popular ontologies, and schema limitations, this research addresses the interoperability dilemma. A practical demonstration, encapsulated in the “LBD-Online-Merge” demo application, validates the methodology's efficacy in real-world scenarios, illustrating its potential to revolutionize building operations management and data preparation for the operational phase of a building's lifecycle. This study significantly contributes to the academic and practical discourse by providing a robust framework for achieving a more integrated, intelligent building information management ecosystem, setting a new benchmark for future research and applications in constructing semantically rich digital twins of the built environment.
KW - BIM
KW - Building information modelling
KW - IFC
KW - Knowledge integration
KW - Semantics
UR - http://www.scopus.com/inward/record.url?scp=85201785618&partnerID=8YFLogxK
U2 - 10.1016/j.aei.2024.102770
DO - 10.1016/j.aei.2024.102770
M3 - Article
AN - SCOPUS:85201785618
SN - 1474-0346
VL - 62
JO - Advanced Engineering Informatics
JF - Advanced Engineering Informatics
M1 - 102770
ER -