Semantic Web Technologies for Intelligent Engineering Applications

  • Stefan Biffl
  • Marta Sabou

Table of contents

  1. Front Matter
    Pages i-xx
  2. Stefan Biffl, Marta Sabou
    Pages 1-13
  3. Background and Requirements of Industrie 4.0 for Semantic Web Solutions

    1. Front Matter
      Pages 15-15
    2. Stefan Biffl, Arndt Lüder, Dietmar Winkler
      Pages 17-51
  4. Semantic Web Enabled Data Integration in Multi-disciplinary Engineering

    1. Front Matter
      Pages 83-83
    2. Thomas Moser
      Pages 85-103
    3. Marta Sabou, Olga Kovalenko, Petr Novák
      Pages 105-136
    4. Olga Kovalenko, Jérôme Euzenat
      Pages 137-157
    5. Fajar Juang Ekaputra
      Pages 159-178
  5. Intelligent Applications for Multi-disciplinary Engineering

    1. Front Matter
      Pages 179-179
    2. Richard Mordinyi, Estefania Serral, Fajar Juang Ekaputra
      Pages 181-217
    3. Radek Šindelář, Petr Novák
      Pages 257-277
  6. Related and Emerging Trends in the Use of Semantic Web in Engineering

    1. Front Matter
      Pages 279-279
    2. Marta Sabou, Olga Kovalenko, Fajar Juang Ekaputra, Stefan Biffl
      Pages 281-296
    3. Tania Tudorache, Luna Alani
      Pages 297-326
    4. Stefan Feldmann, Konstantin Kernschmidt, Birgit Vogel-Heuser
      Pages 353-382
    5. Marta Sabou, Stefan Biffl
      Pages 383-400
  7. Back Matter
    Pages 401-405

About this book


This is the first book to explore how Semantic Web technologies (SWTs) can be used to create intelligent engineering applications (IEAs).  Technology-specific chapters reflect the state of the art in relevant SWTs and offer guidelines on how they can be applied in multi-disciplinary engineering settings characteristic of engineering production systems. In addition, a selection of case studies from various engineering domains demonstrate how SWTs can be used to create IEAs that enable, for example, defect detection or constraint checking.

Part I “Background and Requirements of Industrie 4.0 for Semantic Web Solutions” provides the background information needed to understand the book and addresses questions concerning the semantic challenges and requirements of Industrie 4.0, and which key SWT capabilities may be suitable for implementing engineering applications. In turn, Part II “Semantic Web-Enabled Data Integration in Multi-Disciplinary Engineering” focuses on how SWTs can be used for data integration in heterogeneous, multi-disciplinary engineering settings typically encountered in the creation of flexible production systems. Part III “Creating Intelligent Applications for Multi-Disciplinary Engineering” demonstrates how the integrated engineering data can be used to support the creation of IEAs, while Part IV “Related and Emerging Trends in the Use of Semantic Web in Engineering” presents an overview of the broader spectrum of approaches that make use of SWTs to support engineering settings. A final chapter then rounds out the book with an assessment of the strengths, weaknesses and compatibilities of SWTs and an outlook on future opportunities for applying SWTs to create IEAs in flexible industrial production systems.

This book seeks to build a bridge between two communities: industrial production on one hand and Semantic Web on the other. Accordingly, stakeholders from both communities should find this book useful in their work. Semantic Web researchers will gain a better understanding of the challenges and requirements of the industrial production domain, offering them guidance in the development of new technologies and solutions for this important application area. In turn, engineers and managers from engineering domains will arrive at a firmer grasp of the benefits and limitations of using SWTs, helping them to select and adopt appropriate SWTs more effectively. In addition, researchers and students interested in industrial production-related issues will gain valuable insights into how and to what extent SWTs can help to address those issues. 


Semantic Web Industrie 4.0 Industry 4.0 Factory of the Future Integration frameworks Knowledge representation and reasoning Information systems applications

Editors and affiliations

  • Stefan Biffl
    • 1
  • Marta Sabou
    • 2
  1. 1.TU WienViennaAustria
  2. 2.TU WienViennaAustria

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-41488-1
  • Online ISBN 978-3-319-41490-4
  • Buy this book on publisher's site
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