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Semantic Oriented Data Structuration for MABS Application to BIM

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In Proc. of the 2nd International Workshop on Methods, Evaluation, Tools and Applications for the Creation and Consumption of Structured Data for the e-Society (META4eS’13), Lecture Notes in Computer Science 42, Graz, Austria, 2013.
Abstract:
The design of a building combines many heterogeneous skills and data from stakeholders specialized 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.
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International conference with proceedings
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