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Linked Data

Linked Data

Paperback

By (author) David Wood, By (author) Marsha Zaidman, By (author) Luke Ruth, By (author) Michael Hausenblas

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  • Publisher: Manning Publications
  • Format: Paperback | 300 pages
  • Dimensions: 185mm x 234mm x 20mm | 454g
  • Publication date: 24 January 2014
  • Publication City/Country: New York
  • ISBN 10: 1617290394
  • ISBN 13: 9781617290398
  • Sales rank: 233,938

Product description

DESCRIPTION Linked Data is a standards-driven model for representing structured data on the Web that gives developers, publishers, and information architects a consistent, predictable way to publish, merge and consume data. It's been adopted by many well-known institutions, including Google, Facebook, IBM, Oracle, and government agencies, as well projects such as Drupal and WordPress. Linked Data presents the Linked Data model in plain, jargon-free language and offers practical techniques using everyday tools like JavaScript and Python. It works through examples of increasing complexity while explaining foundational concepts such as HTTP URIs, the Resource Description Framework (RDF), and the SPARQL query language. Readers will learn to use various Linked Data document formats to create powerful Web applications and mashups, and to effectively use emerging Web standards to access, find, and query structured data on the Web. RETAIL SELLING POINTS Written by Web developers for web developers A step-by-step, hands-on guide to using Linked Data Shows how to utilize the power of tomorrow's Web today AUDIENCE Written for Web developers by Web developers, this book requires no previous exposure to Linked Data technologies. ABOUT THE TECHNOLOGY The launch of Schema.org in June 2011 by Google, Microsoft and Yahoo! and the publication of Linked Data by retailers such as Best Buy, Sears and Volkswagen brought Linked Data into the mainstream. Linked Data is a standards-driven model for representing structured data on the Web that gives developers, publishers, and information architects a consistent, predictable way to publish, merge and consume data.

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AUTHOR BIO David Wood architected the first large-scale RDF database (http://mulgara.org), re-architected the Persistent URL service (http://purl.org, http://purlz.org) to support Linked Data, and co-founded the Callimachus Project (http://callimachusproject.org). He is co-chair of the World Wide Web Consortium's RDF Working Group (http://w3.org/2011/rdf-wg/). Marsha Zaidman is Associate Professor Emerita of Computer Science at the University of Mary Washington, where she served as chair of the Department of Computer Science from 1997 to 2009. Luke Ruth is a Linked Data developer supporting the Callimachus Project (http://callimachusproject.org). Michael Hausenblas leads the Linked Data Research Centre in Galway, Ireland. He is the project coordinator of the European Commission FP7 Support Action LOD Around-The-Clock (LATC) and other W3C standardization activities.