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Multi-Disciplinary Engineering for Industrie 4.0: Semantic Challenges and Needs

Abstract

This chapter introduces key concepts of the Industrie 4.0 vision, focusing on variability issues in traditional and cyber-physical production systems (CPPS) and their engineering processes . Four usage scenarios illustrate key challenges of system engineers and managers in the transition from traditional to CPPS engineering environments. We derive needs for semantic support from the usage scenarios as a foundation for evaluating solution approaches and discuss Semantic Web capabilities to address the identified multidisciplinary engineering needs. We compare the strengths and limitations of Semantic Web capabilities to alternative solution approaches in practice. Semantic Web technologies seem to be a very good match for addressing the aspects of heterogeneity in engineering due to their capability to integrate data intelligently and flexibly on a large scale. Engineers and managers from engineering domains can use the scenarios to select and adopt appropriate Semantic Web solutions in their own settings.

Keywords

  • Engineering process
  • Systems engineering
  • Cyber-Physical production systems
  • Semantic Web
  • Data integration

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Acknowledgments

Parts of this work were supported by the Christian Doppler Forschungsgesellschaft, the Federal Ministry of Economy, Family and Youth, and the National Foundation for Research, Technology and Development in Austria.

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Correspondence to Dietmar Winkler .

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Biffl, S., Lüder, A., Winkler, D. (2016). Multi-Disciplinary Engineering for Industrie 4.0: Semantic Challenges and Needs. In: Biffl, S., Sabou, M. (eds) Semantic Web Technologies for Intelligent Engineering Applications. Springer, Cham. https://doi.org/10.1007/978-3-319-41490-4_2

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  • DOI: https://doi.org/10.1007/978-3-319-41490-4_2

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