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020 _a9783319414904
024 7 _a10.1007/978-3-319-41490-4
_2doi
040 _aES-MaUEC
050 4 _aTK5105.88815
_b2016 EB
245 0 0 _aSemantic Web Technologies for Intelligent Engineering Applications
_cedited by Stefan Biffl, Marta Sabou.
260 _aCham, Switzerland
_bSpringer
_c2016
300 _a1 recurso en línea (XX, 405 páginas)
_b116 ilustraciones, 40 ilustraciones en color
336 _aTexto (visual)
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
505 0 _aPart 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 _aThis 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 zBackground and Requirements of Industrie 4.0 for Semantic Web Solutionsy 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 zSemantic Web-Enabled Data Integration in Multi-Disciplinary Engineeringy 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 zCreating Intelligent Applications for Multi-Disciplinary Engineeringy demonstrates how the integrated engineering data can be used to support the creation of IEAs, while Part IV zRelated and Emerging Trends in the Use of Semantic Web in Engineeringy 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 7 _aWeb semántica
_2embne
_9163805
650 7 _aInteligencia artificial
_2embne
_9413115
700 1 _aBiffl, Stefan.
_eeditor literario
_945907
700 1 _aSabou, Marta.
_eeditor literario
_9101579
_0Local
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-41490-4
_z Acceso a este recurso digital (usuarios Universidad Europea de Madrid)
907 _a.b1298128x
_b10-10-17
_c08-03-17
942 _2lcc
_cLE
945 _aQA76.76.A65 EB
_g1
_ieBOOK
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988 _aEBOOK, EBSPRINGER
998 _am
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