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.
