Translating Building Regulations into IDS for Automated Compliance Checking: A Comparative Study of Manual and AI-Driven Approaches
Year: 2026
Type: conference-paper
Abstract: With the potential to enhance efficiency, transparency and compliance in the construction industry, the Digital Building Permit (DBP) process has one major challenge for this transformation which is automation in the compliance checking process. With recent developments in the Information Delivery Specification (IDS) schema, many authorities have already started the use of IDS for automated compliance checks. However, to facilitate the integration of IDS into the checking process for DBP, a critical step in this approach is the translation of building codes from the legislation into IDS files. A lot of work has been done on rule extraction for Automated Compliance Checking (ACC) but not in relation to rule extraction for IDS. In this paper, we focused on the methodology for this rule translation process which involves some critical steps for preparing the rules including rule extraction, categorization, structuring them into machine readable formats, specifically IDS. For this, we explored both manual process and AI-driven approaches and analysed them on the basis of structure, validity and applicability. With an aim to contribute to the ongoing efforts and research regarding the automated compliance checking and digitalization of the building permit. This paper aims to provide optimized solutions for translation of rules to ensure a smooth integration of IDS into the DBP framework.
Authors: Anshika Karn, Jernej Tekavec
Institution: University of Ljubljana
Language: English
Subfield: Building and Construction
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7214598332