Formalization of building codes and regulations in knowledge graphs

Gonçal Costa, Edlira Vakaj, Rita Lavikka, Maxime Lefrançois, Antoine Zimmermann, Thamer Mecharnia, Vladimir Alexiev, Amna Dridi, Hansi Hettiarachchi, Nataliya Keberle

Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsScientific


One approach to address automation in regulatory compliance checking, considering the above scenario, is using Semantic Web technologies, ontologies, and semantic rule languages. Within this context, the contribution of this article is to present the rule formalization process aimed at transforming building codes and regulations described in plain text into machine-readable documents using a domain-specific rule language. The formalisation process has been devised during the development of the Automated Compliance Checks for Construction, Renovation or Demolition Works (ACCORD), a research project funded by the Horizon Europe program. ACCORD aims to digitalize building permit and compliance processes. The research focuses on the use of BIM and GIS models along with other data sources to automate the regulatory compliance checking process through a semantic framework that integrates processes, regulations, data, and digital construction permit tools.
Original languageEnglish
Title of host publicationDigital Building Permit Conference 2024
Subtitle of host publicationBook of Abstracts
Number of pages6
Publication statusPublished - 19 Apr 2024
MoE publication typeNot Eligible
EventDigital Building Permit conference 2024, DBP24 - COAC, Barcelona, Spain
Duration: 18 Apr 202419 Apr 2024
Conference number: 1


ConferenceDigital Building Permit conference 2024, DBP24
Internet address


The research reported has been conducted in the ACCORD project, which has received fundingfrom the European Union’s Horizon Europe research and innovation programme, HORIZON-CL4-2021-TWIN-TRANSITION-01-10: Digital permits and compliance checks for buildings and infrastructure under grant agreement no 101056973, and UK Research and Innovation programme (UKRI) under grant agreement no 10040207.


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