000 | 04866nam a22005535i 4500 | ||
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001 | 978-3-319-41490-4 | ||
003 | DE-He213 | ||
005 | 20180206183103.0 | ||
007 | cr nn 008mamaa | ||
008 | 161114s2016 gw | s |||| 0|eng d | ||
020 |
_a9783319414904 _9978-3-319-41490-4 |
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050 | 4 | _aQA76.76.A65 | |
050 | 4 | _aTA345-345.5 | |
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_aJPP _2bicssc |
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_aUB _2bicssc |
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_aCOM018000 _2bisacsh |
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072 | 7 |
_aPOL017000 _2bisacsh |
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082 | 0 | 4 |
_a004 _223 |
245 | 1 | 0 |
_aSemantic Web Technologies for Intelligent Engineering Applications _h[recurso electrónico] / _cedited by Stefan Biffl, Marta Sabou. |
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016. |
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300 |
_aXX, 405 p. 116 illus., 40 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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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 ?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 | _aComputer science. | |
650 | 0 | _aManagement information systems. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aApplication software. | |
650 | 0 | _aIndustrial engineering. | |
650 | 0 | _aProduction engineering. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aComputer Appl. in Administrative Data Processing. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
650 | 2 | 4 | _aBusiness Information Systems. |
650 | 2 | 4 | _aIndustrial and Production Engineering. |
700 | 1 |
_aBiffl, Stefan. _eeditor. |
|
700 | 1 |
_aSabou, Marta. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783319414881 |
856 | 4 | 0 |
_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://dx.doi.org/10.1007/978-3-319-41490-4 |
912 | _aZDB-2-SCS | ||
942 | _cLIBRO_ELEC | ||
999 |
_c227185 _d227185 |