Ontological Architecture for Knowledge Graphs in Manufacturing and Simulation
Franz Georg Listl, Jan Fischer, Annelie Sohr, Stephan Grimm, Michael Weyrich · 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA) · 2022
Semantic technologies and knowledge graphs are becoming increasingly important in academia and industry. Nevertheless, they remain a rarity in the manufacturing industry, and the advantages they offer are only partially exploited. The same is true for semantic technologies for simulations within production systems. Simulation serves as an essential tool for virtual manufacturing, but the required models are still created by experts in an often elaborate and mostly manual way. In this paper, we derive the requirements for semantic models to capture production simulation knowledge and present an ontological architecture for a knowledge graph for manufacturing and simulation that meets these requirements. The different ontologies of the architecture are based on established production and simulation standards, namely ISA-95 and VDI guidelines. By implementing the ISA-95 standard in an ontology, heterogeneous data from the production system can be integrated. Furthermore, the connection of ISA-95 models to simulation-specific concepts allows the representation of simulation models within the knowledge graph. The implementation of the knowledge graph is shown within a prototypical simulation framework.