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Semantic Web Technologies for Intelligent Engineering Applications (Hardcover, 1st ed. 2016)
Loot Price: R4,482
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Semantic Web Technologies for Intelligent Engineering Applications (Hardcover, 1st ed. 2016)
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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.
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