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

Abstract : 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.
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https://hal.archives-ouvertes.fr/hal-01516231
Contributor : Nhan Le Thanh <>
Submitted on : Saturday, April 29, 2017 - 12:06:41 PM
Last modification on : Tuesday, May 26, 2020 - 6:50:56 PM

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Anastasiya Yurchyshyna, Catherine Faron Zucker, Nhan Le Thanh, Alain Zarli. Towards the Knowledge Capitalisation and Organisation in the Model of Conformity-Checking Process in Construction. Springer, Berlin, Heidelberg. Knowledge-Based Intelligent Information and Engineering Systems, 5177, Springer, Berlin, Heidelberg, pp.341-348, 2008, Lecture Notes in Computer Science, 978-3-540-85563-7. ⟨10.1007/978-3-540-85563-7_46⟩. ⟨hal-01516231⟩

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