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Semantic Web Solutions in Engineering

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Semantic Web Technologies for Intelligent Engineering Applications

Abstract

The Industrie 4.0 vision highlights the need for more flexible and adaptable production systems. This requires making the process of engineering production systems faster and intends to lead to higher quality, but also more complex plants. A key issue in improving engineering processes in this direction is providing mechanisms that can efficiently and intelligently handle large-scale and heterogeneous engineering data sets thus shortening engineering processes while ensuring a higher quality of the engineered system, for example, by enabling improved cross-disciplinary defect detection mechanisms. Semantic Web technologies (SWTs) have been widely used for the development of a range of Intelligent Engineering Applications (IEAs) that exhibit an intelligent behavior when processing large and heterogeneous data sets. This chapter identifies key technical tasks performed by IEAs, provides example IEAs and discusses the connection between Semantic Web capabilities and IEA tasks.

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Acknowledgments

This work was 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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Authors and Affiliations

  1. Institute of Software Technology and Interactive Systems, CDL-Flex, Vienna University of Technology, Vienna, Austria

    Marta Sabou, Olga Kovalenko, Fajar Juang Ekaputra & Stefan Biffl

Authors
  1. Marta Sabou
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  2. Olga Kovalenko
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  3. Fajar Juang Ekaputra
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  4. Stefan Biffl
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Corresponding author

Correspondence to Marta Sabou .

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Editors and Affiliations

  1. TU Wien, Vienna, Austria

    Stefan Biffl

  2. TU Wien, Vienna, Austria

    Marta Sabou

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Sabou, M., Kovalenko, O., Ekaputra, F.J., Biffl, S. (2016). Semantic Web Solutions in Engineering. 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_11

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  • DOI: https://doi.org/10.1007/978-3-319-41490-4_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-41488-1

  • Online ISBN: 978-3-319-41490-4

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