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Semantic Comparison of Asset Administration Shells

IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), pp. 1–8

Abstract

This paper presents a novel approach for the semantic comparison of Asset Administration Shells (AAS), i.e., digital twins within the context of Industry 4.0. As digital twins gain importance in optimizing industrial processes, ensuring interoperability and accurate versioning of AAS becomes critical. We propose a method that focuses on object model-level comparisons rather than mere syntactic differences, enabling a more meaningful assessment of semantic equivalence. Our findings highlight the challenges associated with traditional comparison methods and suggest a comprehensive framework for enhancing AAS versioning and integrity verification.

Authors 9

  1. RWTH Aachen University

    Affiliation as printed

    RWTH Aachen University,Chair of Information and Automation Systems,Aachen,Germany

  2. RWTH Aachen University

    Affiliation as printed

    RWTH Aachen University,Chair of Information and Automation Systems,Aachen,Germany

  3. RWTH Aachen University

    Affiliation as printed

    RWTH Aachen University,Chair of Information and Automation Systems,Aachen,Germany

  4. Nazarbayev University

    Affiliation as printed

    Nazarbayev University,Astana,Kazakhstan

  5. Institut für Automation und Kommunikation · Otto-von-Guericke-Universität Magdeburg

    Affiliation as printed

    Otto Von Guericke University,Institute for Automation and Communication,Magdeburg,Germany

  6. Technische Universität Dresden

    Affiliation as printed

    TU Dresden,Institute of Applied Computer Science,Dresden,Germany

  7. RWTH Aachen University

    Affiliation as printed

    RWTH Aachen University,Chair of Information and Automation Systems,Aachen,Germany

  8. ZHAW Zurich University of Applied Sciences

    Affiliation as printed

    Zurich University of Applied Sciences (ZHAW),Institute of Mechatronic Systems,Zurich,Switzerland

  9. Technische Universität Dresden

    Affiliation as printed

    TU Dresden,Institute of Applied Computer Science,Dresden,Germany

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