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Semantic Data Integration for the SMT Manufacturing Process Using SANSA Stack

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12124))

Abstract

In this article, we report on our successful integration of Semantic Web techniques in a large Industry 4.0 context. We deploy the SANSA Stack to enable the uniform access to Surface-Mount Technology (SMT) data. An ergonomic visual user interface is proposed to help non-technical users coping with the various concepts underlying the process and conveniently interacting with the data.

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Notes

  1. 1.

    https://parquet.apache.org/.

  2. 2.

    Scalable Semantic Analytics Stack http://sansa-stack.net/.

  3. 3.

    Initially implemented by Lukas Leipert https://github.com/leipert/vsb.

  4. 4.

    https://livy.incubator.apache.org.

References

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Acknowledgments

This work was supported by the EU H2020 projects BETTER (GA 776280) and QualiChain (GA 822404), and by the ADAPT Centre for Digital Content Technology (http://www.adaptcentre.ie/) funded under the SFI Research Centres Programme (Grant 13/RC/2106) and co-funded under the European Regional Development Fund.

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Correspondence to Mohamed Nadjib Mami .

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Mami, M.N., Grangel-González, I., Graux, D., Elezi, E., Lösch, F. (2020). Semantic Data Integration for the SMT Manufacturing Process Using SANSA Stack. In: Harth, A., et al. The Semantic Web: ESWC 2020 Satellite Events. ESWC 2020. Lecture Notes in Computer Science(), vol 12124. Springer, Cham. https://doi.org/10.1007/978-3-030-62327-2_47

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  • DOI: https://doi.org/10.1007/978-3-030-62327-2_47

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-62326-5

  • Online ISBN: 978-3-030-62327-2

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