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Ontology-Based Semantic Models for Industrial IoT Components Representation

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Proceedings of the Third International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18) (IITI'18 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 874))

Abstract

The concept of Industry 4.0 is related to the transition of the industry to new ways of production organizing. New technologies provide basis for creating socio-cyberphysical systems for production also known as smart factories. The main components of smart factories are smart objects, including machines (production robots), people, software services, processed materials and manufactured products. Their interaction requires a model of each component also known as digital twin that reflects the properties of real object in virtual world and could be processed by other components. The paper proposes to use ontologies to develop the model for each type of objects. Five main ontologies for components and two additional is developed to describe production process. In addition, the interrelations between the developed ontologies is described.

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Acknowledgements

The presented research was partially supported by the projects funded through grants # 16-29-04349, 17-29-07073 and 17-07-00327 of the Russian Foundation for Basic Research.

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Authors and Affiliations

  1. SPIIRAS, 14th line 39, 199178, St. Petersburg, Russia

    Nikolay Teslya & Igor Ryabchikov

Authors
  1. Nikolay Teslya
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  2. Igor Ryabchikov
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Corresponding author

Correspondence to Nikolay Teslya .

Editor information

Editors and Affiliations

  1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Ajith Abraham

  2. Rostov State Transport University, Rostov-on-Don, Russia

    Sergey Kovalev

  3. Bauman Moscow State Technical University, Moscow, Russia

    Valery Tarassov

  4. VSB-Technical University of Ostrava, Ostrava, Czech Republic

    Vaclav Snasel

  5. Rostov State Transport University, Rostov-on-Don, Russia

    Andrey Sukhanov

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Teslya, N., Ryabchikov, I. (2019). Ontology-Based Semantic Models for Industrial IoT Components Representation. In: Abraham, A., Kovalev, S., Tarassov, V., Snasel, V., Sukhanov, A. (eds) Proceedings of the Third International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18). IITI'18 2018. Advances in Intelligent Systems and Computing, vol 874. Springer, Cham. https://doi.org/10.1007/978-3-030-01818-4_14

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