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Ontology-Based Platform for Sharing Knowledge on Industry 4.0

  • Giulia Bruno
  • Dario Antonelli
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 540)

Abstract

Industry is currently undergoing a digital transformation for strengthening its competitiveness through the convergence between industrial automation and data exchange technologies. This trend exploits a multiplicity of technologies from Cyber Physical Systems and intelligent robotics to PLM and big data management, in order to transform the manufacturing systems in a network of smart and autonomous agents. Even if most of the technologies are already available nowadays, the key obstacle lies in the lack of experience in operating with such technologies. To develop the required skills, different strategies for learning should be adopted. The paper describes the first outcomes of TIPHYS (http://www.tiphys.eu/), an EU funded project for the development of ‘social network based doctoral education on Industry 4.0’. The project organizes the learning material as small didactic elements that are accessed through an ontology-based platform. PLM concepts are applied to allow learners to customize their learning path, to provide them with a dynamic repository, whose content evolves and is enriched by the collaborative contribution of students themselves. The ontology structure is described with the help of selected examples.

Keywords

Industry 4.0 PLM Ontology Collaborative learning 

References

  1. 1.
    Industrie 4.0 Working Group: Securing the Future of German Manufacturing Industry—Recommendations for Implementing the Strategic Initiative, acatech, Munich, Germany (2013). https://www.acatech.de/Publikation/securing-the-future-of-german-manufacturing-industry-recommendations-for-implementing-the-strategic-initiative-industrie-4-0/. Accessed 28 Aug 2016
  2. 2.
    Rüßmann, M., et al.: Industry 4.0: The Future of Productivity and Growth in Manufacturing Industries. The Boston Consulting Group, Boston.https://www.bcg.com/publications/2015/engineered_products_project_business_industry_4_future_productivity_growth_manufacturing_industries.aspx. Accessed 28 Aug 2016
  3. 3.
    Liu, Y., Xu, X.: Industry 4.0 and Cloud Manufacturing: A Comparative Analysis. University of Auckland, New Zealand (2017)Google Scholar
  4. 4.
    Federmeccanica: I risultati dell’indagine Industria 4.0 condotta da Federmeccanica (2016)Google Scholar
  5. 5.
    Tiphys: Social Network Based Doctoral Education on Industry 4.0. Erasmus Plus KA2 Strategic Partnership, Project No: 2017-1-SE01-KA203-034524Google Scholar
  6. 6.
    Putnik, G.D., Putnik, Z.: A semiotic framework for manufacturing systems integration–Part I: generative integration model. Int. J. Comput. Integr. Manuf. 23(8–9), 691–709 (2010)CrossRefGoogle Scholar
  7. 7.
    Maffei, A., Daghini, L., Archenti, A., Lohseb, N.: CONALI ontology. A framework for design and evaluation of constructively aligned courses in higher education: putting in focus the educational goal verbs. In: 26th CIRP Design Conference (2006)Google Scholar
  8. 8.
    Bruno, G., Antonelli, D., Korf, R., Lentes, J., Zimmermann, N.: Exploitation of a semantic platform to store and reuse PLM knowledge. In: Grabot, B., Vallespir, B., Gomes, S., Bouras, A., Kiritsis, D. (eds.) APMS 2014. IAICT, vol. 438, pp. 59–66. Springer, Heidelberg (2014).  https://doi.org/10.1007/978-3-662-44739-0_8CrossRefGoogle Scholar
  9. 9.
    Bruno, G., Antonelli, D., Villa, A.: A reference ontology to support product lifecycle management. Procedia CIRP 34, 41–46 (2015)CrossRefGoogle Scholar
  10. 10.
    Bruno, G., Villa, A.: An ontology-based model for SME network contracts. In: Herrero, P., Panetto, H., Meersman, R., Dillon, T. (eds.) OTM 2012. LNCS, vol. 7567, pp. 85–92. Springer, Heidelberg (2012).  https://doi.org/10.1007/978-3-642-33618-8_16CrossRefGoogle Scholar
  11. 11.
    Imran, M., Young, B.: The application of common logic based formal ontologies to assembly knowledge sharing. J. Intell. Manuf. 26(1), 139–158 (2013)CrossRefGoogle Scholar

Copyright information

© IFIP International Federation for Information Processing 2018

Authors and Affiliations

  1. 1.Politecnico di TorinoTurinItaly

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