Abstract
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.
| Original language | English |
|---|---|
| Article number | 102770 |
| Number of pages | 16 |
| Journal | Advanced Engineering Informatics |
| Volume | 62 |
| Issue number | Part C. |
| DOIs | |
| Publication status | Published - Oct 2024 |
Funding
This study was partially funded by the HumanTech project (https://humantech-horizon.eu/), funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101058236. This publication has emanated in part from the US-Ireland R&D Partnership supported by Science Foundation Ireland through 20/US/3695.
Keywords
- BIM
- Building information modelling
- IFC
- Knowledge integration
- Semantics