K-Hub: A Modular Ontology to Support Document Retrieval and Knowledge Extraction in Industry 5.0 | SpringerLink
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K-Hub: A Modular Ontology to Support Document Retrieval and Knowledge Extraction in Industry 5.0

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The Semantic Web (ESWC 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13870))

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Abstract

Digitalization is entering the industrial sector and different needs are emerging to support shop floor operators; in particular, they need to retrieve information to support their operations (e.g., during maintenance activities), from structured and unstructured sources, as well as from other people’s experience. Sharing knowledge and making it accessible to industrial workers is therefore a key challenge that Semantic Web technologies are able to address and solve. In this paper, we present a modular ontology that we engineered in order to support the collection, extraction and structuring of relevant information for industrial operators in a “knowledge hub” (K-Hub). In particular, our K-Hub ontology covers several aspects, from document annotation/retrieval to procedure support, from manufacturing domain concepts to company-specific information. We discuss its engineering process, extensibility and availability, as well as its current and future application scenarios to support industrial workers.

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Notes

  1. 1.

    Cf. https://research-and-innovation.ec.europa.eu/research-area/industry/industry-50_en.

  2. 2.

    http://purl.org/net/p-plan.

  3. 3.

    http://purl.org/provone.

  4. 4.

    https://www.w3.org/TR/annotation-model/.

  5. 5.

    The full list of CQs and facts is available at https://github.com/cefriel/k-hub-ontology/blob/main/PaperCompetencyQuestions_Facts.xlsx.

  6. 6.

    Cf. https://chowlk.linkeddata.es/chowlk_spec.

  7. 7.

    https://github.com/dgarijo/Widoco/.

  8. 8.

    https://www.doi.org/10.5281/zenodo.7443000.

  9. 9.

    We are currently working on an ontology-extension of the PAWLS tool for the manual annotation of PDF documents, cf. https://github.com/cefriel/onto-pawls.

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Acknowledgments

This work was partially supported by the K-HUB “Manufacturing Knowledge Hub” project, co-funded by EIT Manufacturing (project id 22330). The authors would like to specifically thank the industrial partners of the project for their invaluable support in both the requirement elicitation and the ontology validation activities.

Author information

Authors and Affiliations

  1. University of Brescia, Brescia, Italy

    Anisa Rula

  2. Cefriel – Politecnico di Milano, Milan, Italy

    Gloria Re Calegari, Antonia Azzini, Davide Bucci, Alessio Carenini, Ilaria Baroni & Irene Celino

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  1. Anisa Rula
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  2. Gloria Re Calegari
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  4. Davide Bucci
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  5. Alessio Carenini
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  6. Ilaria Baroni
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  7. Irene Celino
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Corresponding author

Correspondence to Anisa Rula .

Editor information

Editors and Affiliations

  1. Universidade de Lisboa, Lisbon, Portugal

    Catia Pesquita

  2. University of London, London, UK

    Ernesto Jimenez-Ruiz

  3. Rensselaer Polytechnic Institute, Troy, MI, USA

    Jamie McCusker

  4. Universidade de Lisboa, Lisbon, Portugal

    Daniel Faria

  5. Fondazione Bruno Kessler, Povo, Trento, Italy

    Mauro Dragoni

  6. KU Leuven, Sint-Katelijne-Waver, Belgium

    Anastasia Dimou

  7. EURECOM, Biot, France

    Raphael Troncy

  8. University of Mannheim, Mannheim, Germany

    Sven Hertling

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Rula, A. et al. (2023). K-Hub: A Modular Ontology to Support Document Retrieval and Knowledge Extraction in Industry 5.0. In: Pesquita, C., et al. The Semantic Web. ESWC 2023. Lecture Notes in Computer Science, vol 13870. Springer, Cham. https://doi.org/10.1007/978-3-031-33455-9_27

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  • DOI: https://doi.org/10.1007/978-3-031-33455-9_27

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