Authors:
Catherine Faron-Zucker
1
;
Nhan Le Thanh
1
;
Anastasiya Yurchyshyna
1
and
Alain Zarli
2
Affiliations:
1
I3S, Université de Nice Sophia-Antipolis, CNRS, France
;
2
CSTB, Centre Scientifique et Technique du Bâtiment, France
Keyword(s):
Conformity checking, ontologies in construction, Semantic Web in Construction, graph validation, knowledge extraction in construction.
Related
Ontology
Subjects/Areas/Topics:
Applications of Expert Systems
;
Artificial Intelligence and Decision Support Systems
;
Biomedical Engineering
;
Data Engineering
;
Enterprise Information Systems
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Management
;
Ontologies and the Semantic Web
;
Society, e-Business and e-Government
;
Verification and Validation of Knowledge-Based Systems
;
Web Information Systems and Technologies
Abstract:
This paper presents an ontological method and a corresponding system C3R aimed to semi-automatically check the conformity of a construction project represented by RDF graph against a set of construction norms formalized as SPARQL queries. Our conformity-checking model has a two-level structure: the reasoning relies on matching of these queries and graphs and on expert rules guiding the checking process itself by optimal scheduling of matching procedures, according to semantic annotations of conformity queries, which integrate the meta-knowledge on the checking process (formalized with the help of CSTB experts). The reasoning results with a detailed (non)conformity report in terms of the Construction domain.