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S. Bachhofner, E. Kiesling, K. Kurniawan, E. Sallinger, P. Waibel:
"Knowledge Graph Modularization for Cyber-Physical Production Systems";
Talk: ISWC 2021 - The 20th International Semantic Web Conference, online event; 2021-10-24 - 2021-10-28; in: "Proceedings of the {ISWC} 2021 Posters, Demos and Industry Tracks: From Novel Ideas to Industrial Practice co-located with 20th International Semantic Web Conference {(ISWC} 2021), Virtual Conference, October 24-28, 2021", (2021), 1 - 5.

Abstract. Knowledge Graphs (KGs) have a large potential to support
analytics and AI applications in the manufacturing domain, which in
the age of Industry 4.0 is increasingly driven by data. Compared to
other domains, however, KG techniques have seen limited adoption in
this field so far. We argue that the construction of KGs in the context of Cyber-physical Production Systems (CPPSs) requires a systematic methodology grounded in domain-specific abstractions. Consequently, we
introduce a KG modularization framework based on the well-established
RAMI 4.0 architecture model. A key benefit of the proposed approach
is that the resulting KGs support navigation across abstraction hierarchies, enabling bottom-up contextualization of raw data on the one hand,and top-down explanations by linking to lower levels of granularity on the other hand. We motivate the proposed approach and illustrate its application with a real-world use case from the automotive sector.

Poster · Cyber-physical Production Systems · Knowledge Graph Modeling · Modularization

Project Head Reinhard Pichler:
KnowledgeGraph