TY - BOOK ID - 7833726 TI - Semantic Web Technologies for Intelligent Engineering Applications AU - Biffl, Stefan. AU - Sabou, Marta. PY - 2016 SN - 3319414887 3319414909 PB - Cham : Springer International Publishing : Imprint: Springer, DB - UniCat KW - Computer science. KW - Management information systems. KW - Artificial intelligence. KW - Application software. KW - Industrial engineering. KW - Production engineering. KW - Computer Science. KW - Computer Appl. in Administrative Data Processing. KW - Artificial Intelligence (incl. Robotics). KW - Business Information Systems. KW - Industrial and Production Engineering. KW - Computer-assisted instruction. KW - Semantic Web. KW - CAI (Computer-assisted instruction) KW - Computer-aided instruction KW - Computer-assisted learning KW - Computer based instruction KW - Computer-enhanced learning KW - Electronic data processing in programmed instruction KW - ILSs (Integrated learning systems) KW - Integrated learning systems KW - Microcomputer-aided instruction KW - Microcomputer-assisted instruction KW - Microcomputer-assisted learning KW - Microcomputer-based instruction KW - Teaching KW - Data processing KW - Semantic integration (Computer systems) KW - Semantic networks (Information theory) KW - World Wide Web KW - Microformats KW - Education KW - Educational technology KW - Programmed instruction KW - Telematics KW - Information systems. KW - Artificial Intelligence. KW - Management engineering KW - Simplification in industry KW - Engineering KW - Value analysis (Cost control) KW - Computer-based information systems KW - EIS (Information systems) KW - Executive information systems KW - MIS (Information systems) KW - Sociotechnical systems KW - Information resources management KW - Management KW - AI (Artificial intelligence) KW - Artificial thinking KW - Electronic brains KW - Intellectronics KW - Intelligence, Artificial KW - Intelligent machines KW - Machine intelligence KW - Thinking, Artificial KW - Bionics KW - Cognitive science KW - Digital computer simulation KW - Electronic data processing KW - Logic machines KW - Machine theory KW - Self-organizing systems KW - Simulation methods KW - Fifth generation computers KW - Neural computers KW - Communication systems KW - Manufacturing engineering KW - Process engineering KW - Industrial engineering KW - Mechanical engineering KW - Application computer programs KW - Application computer software KW - Applications software KW - Apps (Computer software) KW - Computer software UR - https://www.unicat.be/uniCat?func=search&query=sysid:7833726 AB - 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. . ER -