A Framework Enabling Data Integration for Virtual Production

Rudolf Reinhard (), Tobias Meisen (), Thomas Beer (), Daniel Schilberg () and Sabina Jeschke ()
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Rudolf Reinhard: RWTH Aachen University, IMA/ZLW
Tobias Meisen: RWTH Aachen University, IMA/ZLW
Thomas Beer: RWTH Aachen University, Virtual Reality Group, Rechen- und Kommunikationszentrum
Daniel Schilberg: RWTH Aachen University, IMA/ZLW
Sabina Jeschke: RWTH Aachen University, IMA/ZLW

A chapter in Automation, Communication and Cybernetics in Science and Engineering 2011/2012, 2013, pp 1101-1114 from Springer

Abstract: Abstract Due to the increasing complexity of modern production processes, the use of tools providing their simulation is getting more and more common. The simulation of a production process in its entirety, depending on the level of detail, often requires the coupling of several, specialised simulation tools. The lack of uniform structures, syntax and semantics among the considered file formats, the special simulation context and the typical accumulation of huge data volumes, complicates the use of established enterprise application integration solutions. Thus, the need for a tailor-made framework for simulation integration purposes arises. The implementation of such a framework is requested to be easy adaptable, so that changes in virtual production circumstances causes only little efforts in the infrastructure, and at the same time taking care about domain specific purposes. This paper presents such a framework.

Keywords: Data Integration; Ontology Match; Virtual Production; Semantic Heterogeneity; Extraction Service (search for similar items in EconPapers)
Date: 2013
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DOI: 10.1007/978-3-642-33389-7_79

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