arXiv AI By Jiseong Chung, Ronny Ko, Won-Yong Shin, Wonchul Yoo, Tae-Wan Kim

GraphCompliance: Structure-Aware Regulatory Compliance through Policy-Context Graph Alignment

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GraphCompliance is a structure‑aware framework that models regulatory documents as a Policy Graph and contextual information as a Context Graph of entity‑relation triples. It aligns these graphs via a Compliance Gate to identify relevant regulatory requirements and evaluate them against contextual evidence, thereby preserving structural dependencies and reducing terminology mismatch. Experiments on EU2UK, GDPR‑13, and CONTRACT datasets show higher Matthews correlation coefficients than competing methods, and ablation studies confirm the importance of each component.

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arXiv AI
Jun 11

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

arXiv:2606. 12065v1 Announce Type: new Abstract: 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.

By Zixuan Xiao, Pei Troh Koh, Jun Ma, Jack C. P. Cheng