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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References
Bell, H., Bjorkhaug, L.: A buildingSMART Ontology. In: Proc. of the European Conference on Product and Process Modeling (ECPPM 2006), Valencia, Spain, pp. 185–190 (2006)
Berners-Lee T.: Reflections on Web Architecture. Conceptual Graphs and the Semantic (2001), http://www.w3.org/DesignIssues/CG.html
Corby, O., Dieng, R., Faron-Zucker, C.: Querying the Semantic Web with Corese Search Engine. In: Proc. Prestigious Applications of Intelligent Systems PAIS, ECAI, Valencia (2004)
Dai, W., Drogemuller, R.: Computer modelling of buildings for compliance checking. In: Proc. Building Control Commission Int. Convention, Melbourne, Australia, pp. 176–186 (1999)
Dibie-Barthélemy, J., Haemmerlé, O., Loiseau, S.: Refinement of Conceptual Graphs. In: Delugach, H.S., Stumme, G. (eds.) ICCS 2001. LNCS (LNAI), vol. 2120, pp. 216–230. Springer, Heidelberg (2001)
Faron-Zucker, C., Yurchyshyna, A., Le Thanh, N., Lima, C.: Une approche ontologique pour automatiser le contrôle de conformité dans le domaine du bâtiment. In: Actes des 8èmes journées Extraction et Gestion des Connaissances, EGC 2008, RNTI-E11, Cépaduès, Sophia Antipolis, France, pp. 115–120 (2008)
Mokhtari, N., Dieng-Kuntz, R.: Extraction et exploitation des annotations contextuelles. In: Actes des 8èmes journées Extraction et Gestion des Connaissances, EGC 2008, RNTI-E11, Cépaduès, Sophia Antipolis, France, pp. 7–18 (2008)
Nguyen, T.-H., Asa, E.: Integrating building code compliance checking into a 3D CAD system. In: Proc. of Joint International Conference on Computing and Decision Making in Civil and Building Engineering, Montreal, Canada, June 14-15 (2006)
Schevers, H., Drogemuller, R.: Converting IFC data to the web ontology language. In: 1st International Conference on Semantics, Knowledge and Grid (SKG 2005), Beijing, China, November 2005, pp. 28–29 ( presented, 2005)
Sowa, J.F.: Conceptual Structures: Information Processing in Mind and Machine. Addison-Wesley, Reading (1984)
Yang, Q., Zhang, Y.: Semantic interoperability in building design: Methods and tools. Computer-Aided Design 38(10), 1099–1112 (2006)
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Yurchyshyna, A., Faron-Zucker, C., Le Thanh, N., Zarli, A. (2008). Towards the Knowledge Capitalisation and Organisation in the Model of Conformity-Checking Process in Construction. In: Lovrek, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2008. Lecture Notes in Computer Science(), vol 5177. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85563-7_46
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DOI: https://doi.org/10.1007/978-3-540-85563-7_46
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