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020 _a9783031794780
_9978-3-031-79478-0
024 7 _a10.1007/978-3-031-79478-0
_2doi
050 4 _aQA1-939
072 7 _aPB
_2bicssc
072 7 _aMAT000000
_2bisacsh
072 7 _aPB
_2thema
082 0 4 _a510
_223
100 1 _aGayo, Jose Emilio Labra.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981874
245 1 0 _aValidating RDF Data
_h[electronic resource] /
_cby Jose Emilio Labra Gayo, Eric Prud'hommeaux, Iovka Boneva, Dimitris Kontokostas.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXXIV, 304 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _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.
650 0 _aMathematics.
_911584
650 0 _aInternet programming.
_935503
650 0 _aApplication software.
_981875
650 0 _aComputer networks .
_931572
650 0 _aOntology.
_95277
650 1 4 _aMathematics.
_911584
650 2 4 _aWeb Development.
_935505
650 2 4 _aComputer and Information Systems Applications.
_981876
650 2 4 _aComputer Communication Networks.
_981877
650 2 4 _aOntology.
_95277
700 1 _aPrud'hommeaux, Eric.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981878
700 1 _aBoneva, Iovka.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981879
700 1 _aKontokostas, Dimitris.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_981880
710 2 _aSpringerLink (Online service)
_981881
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031794797
776 0 8 _iPrinted edition:
_z9783031794773
776 0 8 _iPrinted edition:
_z9783031794803
830 0 _aSynthesis Lectures on Data, Semantics, and Knowledge,
_x2691-2031
_981882
856 4 0 _uhttps://doi.org/10.1007/978-3-031-79478-0
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