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| 001 | 387681 | ||
| 003 | ES-MaUEC | ||
| 005 | 20230327144054.0 | ||
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| 007 | cr nn 008mamaa | ||
| 008 | 220601s2018 sz | o |||| 0|eng d | ||
| 020 | _a9783031794780 | ||
| 024 | 7 |
_a10.1007/978-3-031-79478-0 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aTK5105.88815 _b2018 EB |
|
| 100 | 1 |
_aLabra Gayo, Jose Emilio _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687244 |
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| 245 | 1 | 0 |
_aValidating RDF Data _cby Jose Emilio Labra Gayo, Eric Prud'hommeaux, Iovka Boneva, Dimitris Kontokostas |
| 250 | _a1st edition 2018 | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2018 |
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| 300 | _a1 recurso en línea (XXIV, 304 páginas) | ||
| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF |
||
| 490 | 0 |
_aSynthesis Lectures on Data Semantics and Knowledge _x2691-2031 |
|
| 505 | 0 | _aPreface -- Foreword by Phil Archer -- Foreword by Tom Baker -- Foreword by Dan Brickley and Libby Miller -- Acknowledgments -- Introduction -- The RDF Ecosystem -- Data Quality -- Shape Expressions -- SHACL -- Applications -- Comparing ShEx and SHACL -- Bibliography -- Authors' Biographies -- Index. | |
| 520 | _aRDF and Linked Data have broad applicability across many fields, from aircraft manufacturing to zoology. Requirements for detecting bad data differ across communities, fields, and tasks, but nearly all involve some form of data validation. This book introduces data validation and describes its practical use in day-to-day data exchange. The Semantic Web offers a bold, new take on how to organize, distribute, index, and share data. Using Web addresses (URIs) as identifiers for data elements enables the construction of distributed databases on a global scale. Like the Web, the Semantic Web is heralded as an information revolution, and also like the Web, it is encumbered by data quality issues. The quality of Semantic Web data is compromised by the lack of resources for data curation, for maintenance, and for developing globally applicable data models. At the enterprise scale, these problems have conventional solutions. Master data management provides an enterprise-wide vocabulary, while constraint languages capture and enforce data structures. Filling a need long recognized by Semantic Web users, shapes languages provide models and vocabularies for expressing such structural constraints. This book describes two technologies for RDF validation: Shape Expressions (ShEx) and Shapes Constraint Language (SHACL), the rationales for their designs, a comparison of the two, and some example applications. | ||
| 988 | _aSynthesis Collection of Technology_2018 | ||
| 650 | 7 |
_2embne _9163805 _aWeb semántica |
|
| 650 | 7 |
_2embne _9506007 _aDatos enlazados |
|
| 700 | 1 |
_aPrud'hommeaux, Eric _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687728 |
|
| 700 | 1 |
_aBoneva, Iovka _d1978- _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9687729 |
|
| 700 | 1 |
_aKontokostas, Dimitris _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
| 776 | 0 | 8 |
_iPrinted edition: _z9783031794797 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031794773 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031794803 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-79478-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b03/2023 _dz _eb _zSI |
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