Semantic Oriented Data Structuration for MABS Application to BIM

Short Paper

Thomas Durif¹, Christophe Nicolle¹, Nicolas Gaud², and Stéphane Galland²

¹Le2I, Université de Bourgogne, Dijon, France
thomas.durif@checksem.fr
christophe.nicolle@checksem.fr
http://www.checksem.fr

²IRTES-SET, UTBM, Belfort, France
nicolas.gaud@utbm.fr
stephane.galland@utbm.fr
http://set.utbm.fr

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.

Keywords: ontology, modular ontology, Building Information Modeling, MultiAgent-Based Simulation

LNCS 8186, p. 432 ff.

Full article in PDF | BibTeX

lncs@springer.com
© Springer-Verlag Berlin Heidelberg 2013