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A real-time semantic based approach for modeling and reasoning in Industry 4.0

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Abstract

In the rapidly evolving landscape of Industry 4.0, the transformation of manufacturing processes is driven by the seamless integration and intelligent utilization of data. The concept of semantic interoperability is central to this paradigm evolution, as it holds the key to unleashing unparalleled efficiency, productivity, and innovation. It enables machines, systems, and humans to communicate accurately and make informed decisions by promoting a deeper understanding and interpretation of data from disparate sources. This manuscript proposes a real-time semantic based framework using Semantic Web technologies for Industry 4.0. The framework allows real-time data annotation for semantic data enrichment and building an ontology (I4.0-Onto) for knowledge representation. In addition, semantic reasoning and querying on enriched data, and the publication of the developed model and data as Linked Data on the Web. This research advances and solves the issue of semantic interoperability, giving solutions for developing real-time industrial applications.

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The data are available from the corresponding author.

Notes

  1. https://dataprot.net/statistics/iot-statistics/.

  2. https://kafka.apache.org.

  3. https://spark.apache.org.

  4. https://www.w3.org/RDF/.

  5. https://www.w3.org/OWL/.

  6. https://www.w3.org/2005/Incubator/ssn/wiki/SSN-XG_Liaison_activities.

  7. https://www.w3.org/2015/01/spatial.

  8. https://www.w3.org/Submission/SWRL/.

  9. https://www.w3.org/TR/2013/REC-sparql11-query-20130321/.

  10. https://lod-cloud.net.

  11. https://lod-cloud.net/dataset/fatimazahra.

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Authors and Affiliations

  1. ICOSI Laboratory, Department of Mathematics and Computer Science, University of Abbes Laghrour, Khenchela, Algeria

    Fatima Zahra Amara, Meriem Djezzar & Mounir Hemam

  2. Universidad Autonoma de Tamaulipas, Victoria, Mexico

    Sanju Tiwari

Authors
  1. Fatima Zahra Amara
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  2. Meriem Djezzar
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  3. Mounir Hemam
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  4. Sanju Tiwari
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Correspondence to Sanju Tiwari.

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Amara, F.Z., Djezzar, M., Hemam, M. et al. A real-time semantic based approach for modeling and reasoning in Industry 4.0. Int. j. inf. tecnol. 16, 507–515 (2024). https://doi.org/10.1007/s41870-023-01640-w

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