Semantic oriented data structuration for MABS Application to BIM

Abstract : This paper presents a multiagent-based simulation approach to qualify the usage of buildings from the design phase. Our approach combines ontology and evolution process based on machine learning algorithms. The ontology relies on semantic data structures for the representation of environment components, agent knowledge and all data generated during the simulation.
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Communication dans un congrès
2nd International Workshop on Methods, Evaluation, Tools and Applications for the Creation and Consumption of Structured Data for the e-Society (META4eS'13), Sep 2013, Graz, Austria
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Soumis le : mercredi 24 juillet 2013 - 09:31:35
Dernière modification le : lundi 21 mars 2016 - 17:36:59
Document(s) archivé(s) le : vendredi 25 octobre 2013 - 04:09:58

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  • HAL Id : hal-00840605, version 2

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Thomas Durif, Christophe Nicolle, Nicolas Gaud, Stéphane Galland. Semantic oriented data structuration for MABS Application to BIM. 2nd International Workshop on Methods, Evaluation, Tools and Applications for the Creation and Consumption of Structured Data for the e-Society (META4eS'13), Sep 2013, Graz, Austria. <hal-00840605v2>

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