Validating RDF Data

Gayo, Jose Emilio Labra; Prud'Hommeaux, Eric; Boneva, Iovka; Kontokostas, Dimitris

Type de document :

Ouvrage (y compris édition critique et traduction)

DOI :

10.2200/S00786ED1V01Y201707WBE016

Titre :

Validating RDF Data

Auteur(s) :

Gayo, Jose Emilio Labra [Auteur]
Universidad de Oviedo = University of Oviedo
Prud'Hommeaux, Eric [Auteur]
World Wide Web Consortium [W3C]
Boneva, Iovka [Auteur]

Linking Dynamic Data [LINKS]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Kontokostas, Dimitris [Auteur]
Leipzig University / Universität Leipzig

Éditeur :

Morgan & Claypool

Date de publication :

2017-09-28

Nombre de pages :

1 - 328

Discipline(s) HAL :

Informatique [cs]/Web

Résumé en anglais : [en]

RDF 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 ...
Lire la suite >RDF 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.Table of Contents: Preface / 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 / IndexLire moins >

Langue :

Anglais

Audience :

Internationale

Vulgarisation :

Non

Collections :

Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL

Fichiers

https://link.springer.com/content/pdf/bfm%3A978-3-031-79478-0%2F1
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Validating RDF Data

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