Monash University, Malaysia e-mail: veera.ragavan@monash.edu"/> University of Waterloo, Canada e-mail: akhamis@pami.uwaterloo.ca"/> IBM Research, Brazil e-mail: sandro.fiorini@ibm.com"/> Universidade Federal do Rio Grande do Sul, Brazil e-mail: joel.carbonera@inf.ufrgs.br"/> The American University in Cairo, Egypt e-mail: maki@aucegypt.edu"/> IDMEC, Instituto Politecnico de Castelo Branco, Portugal e-mail: paulo.goncalves@ipcb.pt"/> University of New Brunswick, Canada e-mail: howard@unb.ca"/> University of West of Scotland, UK e-mail: joanna.olszewska@ieee.org"/>
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2019 Volume 34
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Ontologies for Industry 4.0

  • Monash University, Malaysia e-mail: veera.ragavan@monash.edu

  • University of Waterloo, Canada e-mail: akhamis@pami.uwaterloo.ca

  • IBM Research, Brazil e-mail: sandro.fiorini@ibm.com

  • Universidade Federal do Rio Grande do Sul, Brazil e-mail: joel.carbonera@inf.ufrgs.br

  • CSIC-UPC Llorens i Artigas 4-6, 08028 Barcelona

  • The American University in Cairo, Egypt e-mail: maki@aucegypt.edu

  • IDMEC, Instituto Politecnico de Castelo Branco, Portugal e-mail: paulo.goncalves@ipcb.pt

  • University of New Brunswick, Canada e-mail: howard@unb.ca

  • University of West of Scotland, UK e-mail: joanna.olszewska@ieee.org

More Information
  • Abstract: The current fourth industrial revolution, or ‘Industry 4.0’ (I4.0), is driven by digital data, connectivity, and cyber systems, and it has the potential to create impressive/new business opportunities. With the arrival of I4.0, the scenario of various intelligent systems interacting reliably and securely with each other becomes a reality which technical systems need to address. One major aspect of I4.0 is to adopt a coherent approach for the semantic communication in between multiple intelligent systems, which include human and artificial (software or hardware) agents. For this purpose, ontologies can provide the solution by formalizing the smart manufacturing knowledge in an interoperable way. Hence, this paper presents the few existing ontologies for I4.0, along with the current state of the standardization effort in the factory 4.0 domain and examples of real-world scenarios for I4.0.
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    Veera Ragavan Sampath Kumar, Alaa Khamis, Sandro Fiorini, Joel Luís Carbonera, Alberto Olivares Alarcos, Maki Habib, Paulo Goncalves, Howard Li, Joanna Isabelle Olszewska. 2019. Ontologies for Industry 4.0. The Knowledge Engineering Review. 34: doi: 10.1017/S0269888919000109
    Veera Ragavan Sampath Kumar, Alaa Khamis, Sandro Fiorini, Joel Luís Carbonera, Alberto Olivares Alarcos, Maki Habib, Paulo Goncalves, Howard Li, Joanna Isabelle Olszewska. 2019. Ontologies for Industry 4.0. The Knowledge Engineering Review. 34: doi: 10.1017/S0269888919000109
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Ontologies for Industry 4.0

  • Monash University, Malaysia e-mail: veera.ragavan@monash.edu

  • University of Waterloo, Canada e-mail: akhamis@pami.uwaterloo.ca

  • IBM Research, Brazil e-mail: sandro.fiorini@ibm.com

  • Universidade Federal do Rio Grande do Sul, Brazil e-mail: joel.carbonera@inf.ufrgs.br

  • CSIC-UPC Llorens i Artigas 4-6, 08028 Barcelona

  • The American University in Cairo, Egypt e-mail: maki@aucegypt.edu

  • IDMEC, Instituto Politecnico de Castelo Branco, Portugal e-mail: paulo.goncalves@ipcb.pt

  • University of New Brunswick, Canada e-mail: howard@unb.ca

  • University of West of Scotland, UK e-mail: joanna.olszewska@ieee.org

  • Received: 18 June 2019
  • Revised: 15 October 2019
  • Accepted: 16 October 2019
The Knowledge Engineering Review  34,  Article number: e17  (2019)  |  Cite this article

Abstract: Abstract: The current fourth industrial revolution, or ‘Industry 4.0’ (I4.0), is driven by digital data, connectivity, and cyber systems, and it has the potential to create impressive/new business opportunities. With the arrival of I4.0, the scenario of various intelligent systems interacting reliably and securely with each other becomes a reality which technical systems need to address. One major aspect of I4.0 is to adopt a coherent approach for the semantic communication in between multiple intelligent systems, which include human and artificial (software or hardware) agents. For this purpose, ontologies can provide the solution by formalizing the smart manufacturing knowledge in an interoperable way. Hence, this paper presents the few existing ontologies for I4.0, along with the current state of the standardization effort in the factory 4.0 domain and examples of real-world scenarios for I4.0.

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    Acknowledgments

    • S. Veera Ragavan was supported by Monash University and MOHE grant FRGS/1/2015/TK08/ MUSM/02/1, entitled ‘Towards a model synthesis framework for conceptual modeling of cyber-physical systems’. Paulo J. S. Goncalves was partially supported by FCT, through IDMEC, uner LAETA, project UID/EMS/50022/2109 and project 0043-EUROAGE-4-E (POCTEP Programa Interreg V-A Spain-Portugal). J.I. Olszewska was partially supported by Innovate UK.

    • http://smartmanufacturingcoalition.org/http://smartmanufacturingcoalition.org/.

    • http://www.hightech-strategie.de/de/59.phphttp://www.hightech-strategie.de/de/59.php.

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    • This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
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    Veera Ragavan Sampath Kumar, Alaa Khamis, Sandro Fiorini, Joel Luís Carbonera, Alberto Olivares Alarcos, Maki Habib, Paulo Goncalves, Howard Li, Joanna Isabelle Olszewska. 2019. Ontologies for Industry 4.0. The Knowledge Engineering Review. 34: doi: 10.1017/S0269888919000109
    Veera Ragavan Sampath Kumar, Alaa Khamis, Sandro Fiorini, Joel Luís Carbonera, Alberto Olivares Alarcos, Maki Habib, Paulo Goncalves, Howard Li, Joanna Isabelle Olszewska. 2019. Ontologies for Industry 4.0. The Knowledge Engineering Review. 34: doi: 10.1017/S0269888919000109
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