Semantic Web Approach to Ease Regulation Compliance Checking in Construction Industry

Khalil Riad Bouzidi, Bruno Fies, Catherine Faron-Zucker, Alain Zarli and Nhan Le Thanh
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Khalil Riad Bouzidi: French Scientific and Technical Centre for Building (CSTB), 290 route des Lucioles, BP 209, 06904 Sophia Antipolis, France
Bruno Fies: French Scientific and Technical Centre for Building (CSTB), 290 route des Lucioles, BP 209, 06904 Sophia Antipolis, France
Catherine Faron-Zucker: The I3S laboratory (Laboratoire d’Informatique, Signaux et Systèmes de Sophia-Antipolis), University of Nice Sophia Antipolis and CNRS, BP 121, 06903 Sophia Antipolis, France
Alain Zarli: French Scientific and Technical Centre for Building (CSTB), 290 route des Lucioles, BP 209, 06904 Sophia Antipolis, France
Nhan Le Thanh: The I3S laboratory (Laboratoire d’Informatique, Signaux et Systèmes de Sophia-Antipolis), University of Nice Sophia Antipolis and CNRS, BP 121, 06903 Sophia Antipolis, France

Future Internet, 2012, vol. 4, issue 3, 1-22

Abstract: Regulations in the Building Industry are becoming increasingly complex and involve more than one technical area, covering products, components and project implementations. They also play an important role in ensuring the quality of a building, and to minimize its environmental impact. Control or conformance checking are becoming more complex every day, not only for industrials, but also for organizations charged with assessing the conformity of new products or processes. This paper will detail the approach taken by the CSTB (Centre Scientifique et Technique du Bâtiment) in order to simplify this conformance control task. The approach and the proposed solutions are based on semantic web technologies. For this purpose, we first establish a domain-ontology, which defines the main concepts involved and the relationships, including one based on OWL (Web Ontology Language) [1]. We rely on SBVR (Semantics of Business Vocabulary and Business Rules) [2] and SPARQL (SPARQL Protocol and RDF Query Language) [3] to reformulate the regulatory requirements written in natural language, respectively, in a controlled and formal language. We then structure our control process based on expert practices. Each elementary control step is defined as a SPARQL query and assembled into complex control processes “on demand”, according to the component tested and its semantic definition. Finally, we represent in RDF (Resource Description Framework) [4] the association between the SBVR rules and SPARQL queries representing the same regulatory constraints.

Keywords: ontology; semantic web; knowledge management; building industry; e-regulations; assisted checking; rule based system (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2012
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