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Semantic Web Services for AI-Research with Physical Factory Simulation Models in Industry 4.0

Lukas Malburg; Patrick Klein; Ralph Bergmann
In: Hervé Panetto; Kurosh Madani; Alexander V. Smirnov (Hrsg.). Proceedings of the International Conference on Innovative Intelligent Industrial Production and Logistics, IN4PL 2020, Budapest, Hungary, November 2-4, 2020. International Conference on Innovative Intelligent Industrial Production and Logistics (IN4PL-2020), November 2-4, Budapest, Hungary, Pages 32-43, ISBN 978-989-758-476-3, SCITEPRESS. 2020.


The transition to Industry 4.0 requires smart manufacturing systems that are easily configurable and provide a high level of flexibility during manufacturing in order to achieve mass customization or to support cloud manufacturing. To realize this, Cyber-Physical Systems (CPSs) combined with Artificial Intelligence (AI) methods find their way into manufacturing shop floors. For using AI methods in the context of Industry 4.0, semantic web services are indispensable to provide a reasonable abstraction of the underlying manufacturing capabilities. In this paper, we present semantic web services for AI-based research with physical factory simulation models in Industry 4.0. Therefore, we developed 68 semantic web services based on Web Ontology Language for Web Services (OWL-S) and Web Service Modeling Ontology (WSMO) and linked them to an already existing domain ontology for intelligent manufacturing control. Suitable for the requirements of CPS environments, our pre- and postconditions are verified in near real-time by invoking other semantic web services in contrast to complex reasoning within the knowledge base. Finally, we evaluate our implementation by executing a cyber-physical workflow composed of semantic web services using a state-of-the-art workflow management system.