Towards the Knowledge Capitalisation and Organisation in the Model of Conformity-Checking Process in Construction

  • Anastasiya Yurchyshyna
  • Catherine Faron-Zucker
  • Nhan Le Thanh
  • Alain Zarli
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5177)


This paper presents an ontological method aimed at the capitalization of expert knowledge in the context of semi-automatic checking model of the conformity of construction projects against a set of construction norms. The efficiency of our ontology-based reasoning model relies on two keystones. First, it is based on the matching of construction projects represented by RDF graphs to technical conformity queries formalized as SPARQL queries. Second, our reasoning model integrates the meta-knowledge on conformity checking process. Our approach of capitalizing such knowledge is based on the development of semantic annotations of conformity queries and organizing them into a query base. This helps to formalize the expert knowledge in form of expert rules scheduling the matching operations of the checking process. Semantic annotations of conformity queries also help to generate a structured conformity report, which interprets the results of reasoning in terms of conformity checking in construction.


Conformity checking capitalization of construction knowledge organization of the base of conformity queries Semantic Web in Construction 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Anastasiya Yurchyshyna
    • 1
    • 2
  • Catherine Faron-Zucker
    • 2
  • Nhan Le Thanh
    • 2
  • Alain Zarli
    • 1
  1. 1.Centre Scintifique et Technique du BâtimentCSTBSophia AntipolisFrance
  2. 2.I3S, Université de Nice Sophia-Antipolis, CNRSSophia AntipolisFrance

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