Towards a Semantic-based Approach for Modeling Regulatory Documents in Building Industry

TL;DR

This paper presents a semantic-based approach for modeling and automating compliance checking of regulatory documents in the building industry, enhancing accuracy and efficiency in technical assessments.

Contribution

It introduces a novel method for modeling regulatory constraints using SBVR and SPARQL, and automates compliance processes for building industry regulations.

Findings

Automated compliance reports generated for technical documents.

Semantic modeling improves validation accuracy.

Process automation reduces manual effort in regulatory assessments.

Abstract

Regulations in the Building Industry are becoming increasingly complex and involve more than one technical area. They cover products, components and project implementation. They also play an important role to ensure the quality of a building, and to minimize its environmental impact. In this paper, we are particularly interested in the modeling of the regulatory constraints derived from the Technical Guides issued by CSTB and used to validate Technical Assessments. We first describe our approach for modeling regulatory constraints in the SBVR language, and formalizing them in the SPARQL language. Second, we describe how we model the processes of compliance checking described in the CSTB Technical Guides. Third, we show how we implement these processes to assist industrials in drafting Technical Documents in order to acquire a Technical Assessment; a compliance report is automatically generated to explain the compliance or noncompliance of this Technical Documents.