Unified Network-Based Representation of BIM Models for Embedding Semantic, Spatial, and Topological Data
2025 Proceedings of the 42nd ISARC, 2025
Recommended citation: Han, J., Lu, X.Z., Lin, J.R.* (2025). Unified Network-Based Representation of BIM Models for Embedding Semantic, Spatial, and Topological Data. 2025 Proceedings of the 42nd ISARC, 1245-1251. Montreal, Canada. doi: 10.22260/ISARC2025/0161 http://doi.org/10.22260/ISARC2025/0161
Abstract
Building Information Modeling (BIM) has revolutionized the construction industry by providing a comprehensive digital representation of building structures throughout their lifecycle. However, existing research lacks effective methods for capturing the complex spatial and topological relationships between components in BIM models, which are essential for understanding design patterns and enhancing decision-making. This study proposes a unified network-based representation method that integrates the “semantic-spatial-topological” multidimensional design features of BIM models. By extending the IFC (Industry Foundation Classes) standard, we introduce local spatial relationships and topological connections between components to enrich the network structure. This representation method enables a more detailed understanding of component interactions, dependencies, and implicit design patterns, effectively capturing the semantic, topological, and spatial relationships in BIM, and holds significant potential for the representation and learning of design patterns.
The authors are grateful for the financial support received from the National Key R&D Program of China (No. 2023YFC3804600) and the National Natural Science Foundation of China (No. 52378306).
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