Knowledge capitalisation and organisation for conformance checking model in construction

Abstract : This paper presents an ontological method aimed at the capitalisation and organisation of conformance-related knowledge for semi-automatic checking model of the conformance of construction projects against a set of conformance requirements. We start by developing a method for knowledge representation of explicit knowledge taking part in checking, and capitalisation of tacit knowledge defining checking practices. Then we explain our approach for classification, organisation and retrieval of conformance requirements and propose an approach for scheduling these requirements to optimise the checking process. Finally, we introduce our reasoning model that is based on matching graph representations of construction projects and conformance queries, and interpret the acquired results in terms of conformance checking in construction. To validate our approach, we describe a prototype illustrating its feasibility, and discuss ongoing works and perspectives of our research.
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Article dans une revue
International Journal of Knowledge Engineering and Soft Data Paradigms, Inderscience, 2010, Special Issue on Innovations in Intelligent Techniques and their Applications, 2 (1), pp.15 - 32. 〈http://www.inderscience.com/info/inarticle.php?artid=30464〉
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https://hal.archives-ouvertes.fr/hal-01450784
Contributeur : Nhan Le Thanh <>
Soumis le : mardi 31 janvier 2017 - 13:26:20
Dernière modification le : mardi 12 décembre 2017 - 16:08:09

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  • HAL Id : hal-01450784, version 1

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Anastasiya Yurchyshyna, Catherine Faron Zucker, Nhan Le Thanh, Alain Zarli. Knowledge capitalisation and organisation for conformance checking model in construction. International Journal of Knowledge Engineering and Soft Data Paradigms, Inderscience, 2010, Special Issue on Innovations in Intelligent Techniques and their Applications, 2 (1), pp.15 - 32. 〈http://www.inderscience.com/info/inarticle.php?artid=30464〉. 〈hal-01450784〉

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