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Semantic web technologies for intell...

Biffl, Stefan.

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Semantic web technologies for intelligent engineering applications

Record Type:	Electronic resources : Monograph/item
Title/Author:	Semantic web technologies for intelligent engineering applications/ edited by Stefan Biffl, Marta Sabou.
other author:	Biffl, Stefan.
Published:	Cham :Springer International Publishing : : 2016.,
Description:	xx, 405 p. :ill., digital ;24 cm.
[NT 15003449]:	Part I: Background and Requirements of Industrie 4.0 for Semantic Web Solutions -- Part II: Semantic Web Enabled Data Integration in Multi-Disciplinary Engineering -- Part III: Intelligent Applications for Multi-Disciplinary Engineering -- Part IV: Related and Emerging Trends in the use of Semantic Web in Engineering.
Contained By:	Springer eBooks
Subject:	Artificial intelligence - Engineering applications. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-41490-4
ISBN:	9783319414904

Semantic web technologies for intelligent engineering applications
Semantic web technologies for intelligent engineering applications[electronic resource] /edited by Stefan Biffl, Marta Sabou. - Cham :Springer International Publishing :2016. - xx, 405 p. :ill., digital ;24 cm.

Part I: Background and Requirements of Industrie 4.0 for Semantic Web Solutions -- Part II: Semantic Web Enabled Data Integration in Multi-Disciplinary Engineering -- Part III: Intelligent Applications for Multi-Disciplinary Engineering -- Part IV: Related and Emerging Trends in the use of Semantic Web in Engineering.

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.

ISBN: 9783319414904

Standard No.: 10.1007/978-3-319-41490-4doiSubjects--Topical Terms:

1567162
Artificial intelligence
--Engineering applications.

LC Class. No.: TK5105.88815 / .S46 2016

Dewey Class. No.: 006

Semantic web technologies for intelligent engineering applications
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245 0 0 $a Semantic web technologies for intelligent engineering applications $h [electronic resource] / $c edited by Stefan Biffl, Marta Sabou.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a xx, 405 p. : $b ill., digital ; $c 24 cm.
505 0 $a Part I: Background and Requirements of Industrie 4.0 for Semantic Web Solutions -- Part II: Semantic Web Enabled Data Integration in Multi-Disciplinary Engineering -- Part III: Intelligent Applications for Multi-Disciplinary Engineering -- Part IV: Related and Emerging Trends in the use of Semantic Web in Engineering.
520 $a 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.
650 0 $a Artificial intelligence $x Engineering applications. $3 1567162
650 0 $a Semantic Web. $3 572918
650 1 4 $a Computer Science. $3 626642
650 2 4 $a Computer Appl. in Administrative Data Processing. $3 892567
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 890894
650 2 4 $a Business Information Systems. $3 892640
650 2 4 $a Industrial and Production Engineering. $3 891024
700 1 $a Biffl, Stefan. $3 1567593
700 1 $a Sabou, Marta. $3 3200571
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-41490-4
950 $a Computer Science (Springer-11645)