Semantic oriented data structuration for MABS Application to BIM

Thomas Durif (1) , Christophe Nicolle (2) , Nicolas Gaud (3) , Stéphane Galland (3)

1 Le2i - Laboratoire Electronique, Informatique et Image [UMR6306]
2 Checksem
3 SET - Laboratoire Systèmes et Transports

The design of a building combines many heterogeneous skills and data from stakeholders specialised in different domains (plumbers, electricians...). Many problems can occur during this partnership once the building is undergoing construction. To minimize these problems, 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.

Domaines: Système multi-agents [cs.MA]; Modélisation et simulation

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. pp.42. ⟨hal-00840605v1⟩