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Validating Rdf Data
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Validating Rdf Data Tapa blanda - 2018

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


Detalles

  • Título Validating Rdf Data
  • Autor Jose Emilio Labra Gayo; Eric Prud'hommeaux; Iovka Boneva
  • Encuadernación Tapa blanda
  • Páginas 328
  • Volúmenes 1
  • Idioma ENG
  • Editorial Morgan & Claypool
  • Fecha de publicación 2018
  • ISBN 9781681731643 / 1681731649
  • Peso 1.26 libras (0.57 kg)
  • Dimensiones 9.25 x 7.5 x 0.69 pulgadas (23.50 x 19.05 x 1.75 cm)

Acerca del autor

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)

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

  • Nuevo
  • Tapa blanda
Estado
New
Encuadernación
Paperback
ISBN 10 / ISBN 13
9781681731643 / 1681731649
Cantidad disponible
1
Librería
Kraków, Poland
Puntuación del vendedor:
Este vendedor ha conseguido 5 de las cinco estrellas otorgadas por los compradores de Biblio.
Precio
EUR 44.56
EUR 15.24 enviando a USA

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Descripción:
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… Leer más
Precio
EUR 44.56
EUR 15.24 enviando a USA