Towards a Semantic-based Approach for Modeling Regulatory Documents in Building Industry
This work addresses the challenge of compliance checking for industrials in the building industry, but it is incremental as it applies existing semantic modeling techniques to a specific domain.
The paper tackles the problem of modeling complex regulatory constraints in the building industry by developing a semantic-based approach using SBVR and SPARQL languages, resulting in an automated system that generates compliance reports for technical documents with concrete implementation of processes from CSTB Technical Guides.
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.