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Validating Rdf Data
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Validating Rdf Data Paperback - 2018

by Jose Emilio Labra Gayo; Eric Prud'hommeaux; Iovka Boneva

From the publisher

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.

Details

  • Title Validating Rdf Data
  • Author Jose Emilio Labra Gayo; Eric Prud'hommeaux; Iovka Boneva
  • Binding Paperback
  • Pages 328
  • Volumes 1
  • Language ENG
  • Publisher Morgan & Claypool
  • Date 2018
  • ISBN 9781681731643 / 1681731649
  • Weight 1.26 lbs (0.57 kg)
  • Dimensions 9.25 x 7.5 x 0.69 in (23.50 x 19.05 x 1.75 cm)

About the author

Jose Emilio Labra Gayo is an Associate Professor at the University of Oviedo, Spain. He is the founder and main researcher of WESO (Web Semantics Oviedo) research group, which collaborates with different companies around the world applying semantic web technologies. The development of data portals for several companies and public administrations led to his interest in RDF validation. He is a member of the W3C Data Shapes working group and of three W3C community groups-Shape Expressions, SHACL, and RAX (RDF and XML interoperability)-as well as the Chairman of the Best practices of Multilingual Linked Open Data community group. He implemented the SHACL and ShEx library Shaclex and maintains an online RDF validator service and has also written an introductory book about the Semantic Web in Spanish.
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Validating RDF Data (Synthesis Lectures on the Semantic Web: Theory and Technology)

Validating RDF Data (Synthesis Lectures on the Semantic Web: Theory and Technology)

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

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Description:
Morgan & Claypool Publishers, 2017 8vo (23.5 cm), XXIV, 304 pp. Laminated wrappers. Synopsis: 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… Read More
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