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Semantic Data Integration for Monitoring Operators’ Ergonomics in an Automotive Manufacturing Setting

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The Semantic Web: ESWC 2022 Satellite Events (ESWC 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13384))

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Abstract

This paper presents a novel semantic data integration framework for monitoring and safeguarding the ergonomics of human operators during a collaborative assembly task in an automotive manufacturing environment.

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References

  1. CPSoSaware project. https://cpsosaware.eu/. Accessed Mar 2022

  2. CASPAR framework. https://caspar.catalink.eu/. Accessed Mar 2022

  3. Kontopoulos, E., et al.: An extensible semantic data fusion framework for autonomous vehicles. In: The Fifteenth International Conference on Advances in Semantic Processing (SEMAPRO 2021), pp. 5–11. Barcelona, Spain, 3–7 October (2021)

    Google Scholar 

  4. Maga-Nteve, C., et al.: A semantic technologies toolkit for bridging early diagnosis and treatment in brain diseases: report from the ongoing EU-funded research project ALAMEDA. In: Garoufallou, Emmanouel, Ovalle-Perandones, María-Antonia., Vlachidis, Andreas (eds.) Metadata and Semantic Research: 15th International Conference, MTSR 2021, Virtual Event, November 29–December 3, 2021, Revised Selected Papers, pp. 349–354. Springer International Publishing, Cham (2022). https://doi.org/10.1007/978-3-030-98876-0_30

    Chapter  Google Scholar 

  5. RabbitMQ. https://www.rabbitmq.com/. Accessed Mar 2022

  6. Unity. https://unity.com/. Accessed Mar 2022

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Acknowledgment

This work has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No 871738 - CPSoSaware: Crosslayer cognitive optimization tools & methods for the lifecycle support of dependable CPSoS.

Author information

Authors and Affiliations

  1. Catalink Limited, Nicosia, Cyprus

    Efstratios Kontopoulos, Panagiotis Mitzias & Pavlos Kosmides

  2. Electrical and Computer Engineering Department, University of Patras, Patras, Greece

    Gerasimos Arvanitis, Evangelia I. Zacharaki & Konstantinos Moustakas

  3. Centro Ricerche FIAT SCpA, Orbassano, Italy

    Alessandro Zanella

  4. Industrial Systems Institute, Athena Research Center, Athens, Greece

    Nikos Piperigkos & Aris S. Lalos

Authors
  1. Efstratios Kontopoulos
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  2. Gerasimos Arvanitis
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  3. Alessandro Zanella
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  4. Panagiotis Mitzias
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  5. Evangelia I. Zacharaki
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  6. Pavlos Kosmides
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  7. Nikos Piperigkos
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  8. Konstantinos Moustakas
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  9. Aris S. Lalos
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Corresponding author

Correspondence to Efstratios Kontopoulos .

Editor information

Editors and Affiliations

  1. Faculty of Science, Informatics Institute, University of Amsterdam, Amsterdam, Noord-Holland, The Netherlands

    Paul Groth

  2. Department of Computer Engineering, University of Brescia, Brescia, Italy

    Anisa Rula

  3. School of Information Sciences, University of Illinois Urbana-Champaign, Champaign, IL, USA

    Jodi Schneider

  4. Vrije Universiteit Amsterdam, Amsterdam, The Netherlands

    Ilaria Tiddi

  5. Bush House, Strand Campus, King’s College London, London, UK

    Elena Simperl

  6. Textkernel BV, Amsterdam, The Netherlands

    Panos Alexopoulos

  7. Elsevier BV, Amsterdam, The Netherlands

    Rinke Hoekstra

  8. FIZ Karlsruhe - Leibniz Institute for Information Infrastructure, Eggenstein-Leopoldshafen, Germany

    Mehwish Alam

  9. Department of Computer Science, KU Leuven, Sint-Katelijne-Waver, Belgium

    Anastasia Dimou

  10. Department of Computer Science, Aalto University, Espoo, Finland

    Minna Tamper

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Kontopoulos, E. et al. (2022). Semantic Data Integration for Monitoring Operators’ Ergonomics in an Automotive Manufacturing Setting. In: Groth, P., et al. The Semantic Web: ESWC 2022 Satellite Events. ESWC 2022. Lecture Notes in Computer Science, vol 13384. Springer, Cham. https://doi.org/10.1007/978-3-031-11609-4_46

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  • DOI: https://doi.org/10.1007/978-3-031-11609-4_46

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-11608-7

  • Online ISBN: 978-3-031-11609-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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