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Knowledge Graphs for Semantically Integrating Cyber-Physical Systems

  • Irlán Grangel-González
  • Lavdim Halilaj
  • Maria-Esther Vidal
  • Omar Rana
  • Steffen Lohmann
  • Sören Auer
  • Andreas W. Müller
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11029)

Abstract

Cyber-Physical Systems (CPSs) are engineered systems that result from the integration of both physical and computational components designed from different engineering perspectives (e.g., mechanical, electrical, and software). Standards related to Smart Manufacturing (e.g., AutomationML) are used to describe CPS components, as well as to facilitate their integration. Albeit expressive, smart manufacturing standards allow for the representation of the same features in various ways, thus hampering a fully integrated description of a CPS component. We tackle this integration problem of CPS components and propose an approach that captures the knowledge encoded in smart manufacturing standards to effectively describe CPSs. We devise SemCPS, a framework able to combine Probabilistic Soft Logic and Knowledge Graphs to semantically describe both a CPS and its components. We have empirically evaluated SemCPS on a benchmark of AutomationML documents describing CPS components from various perspectives. Results suggest that SemCPS enables not only the semantic integration of the descriptions of CPS components, but also allows for preserving the individual characterization of these components.

Notes

Acknowledgements

This work has partly been supported by the German Federal Ministry of Education, Research (BMBF) in the context of the project Industrial Data Space Plus (grant no. 01IS17031), and EU H2020 Programme for the project BOOST 4.0 (grant no. 780732).

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Irlán Grangel-González
    • 1
    • 2
  • Lavdim Halilaj
    • 1
    • 2
  • Maria-Esther Vidal
    • 3
    • 4
  • Omar Rana
    • 1
  • Steffen Lohmann
    • 2
  • Sören Auer
    • 3
    • 4
  • Andreas W. Müller
    • 5
  1. 1.Enterprise Information Systems (EIS)University of BonnBonnGermany
  2. 2.Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS)Sankt AugustinGermany
  3. 3.L3S Research CenterHanoverGermany
  4. 4.TIB Leibniz Information Center for Science and TechnologyHanoverGermany
  5. 5.Schaeffler TechnologiesHerzogenaurachGermany

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