Automating Geometry-Intensive Compliance Checking in BIM: Graph-Based Semantic Reasoning Framework

Computer Science > Artificial Intelligence [Submitted on 10 Jun 2026] Automating Geometry-Intensive Compliance Checking in BIM: Graph-Based Semantic Reasoning Framework Zixuan Xiao, Pei Troh Koh, Jun Ma, Jack C.P. Cheng Automating compliance check for geometry-intensive regulations remains a significant technical bottleneck in Building Information Modeling (BIM), primarily due to the semantic disparity between high-level regulatory logic and structured IFC data. Existing methods, often reliant on static rule templates, struggle to traverse multi-hop reasoning chains or resolve latent spatial dependencies across multiple building entities. To address these challenges, a Spatial-Geometric Reasoning System for Building Information Modeling (SGR-BIM) is proposed as an integrative graph-driven reasoning framework. SGR-BIM dynamically constructs a cross-modal knowledge graph that aligns user intent, regulatory semantics, and BIM geometry, enabling interpretable reasoning without rigid hard-coding. Validated on 679 expert-verified queries from fire safety codes, the framework achieves 84.3% accuracy, representing an 8.6% improvement over enhanced-tool single-agent baselines. This research provides a graph-based semantic reasoning paradigm, enhancing the transparency and flexibility of automated geometric compliance check workflows in the Architecture, Engineering, and Construction (AEC) industry. Subjects: Artificial Intelligence (cs.AI); Multiagent Systems (cs.MA) Cite as: arXiv:2606.12065 [cs.AI]   (or arXiv:2606.12065v1 [cs.AI] for this version)   https://doi.org/10.48550/arXiv.2606.12065 Focus to learn more Journal reference: Automation in Construction 189 (2026) 107038 Related DOI: https://doi.org/10.1016/j.autcon.2026.107038 Focus to learn more Submission history From: Zixuan Xiao [view email] [v1] Wed, 10 Jun 2026 13:31:43 UTC (8,162 KB) Access Paper: view license Current browse context: cs.AI < prev   |   next > new | recent | 2026-06 Change to browse by: cs cs.MA References & Citations NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)