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Linked Data

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Linked Data Cover

 

Synopses & Reviews

Publisher Comments:

Summary

Linked Data presents the Linked Data model in plain, jargon-free language to Web developers. Avoiding the overly academic terminology of the Semantic Web, this new book presents practical techniques, using everyday tools like JavaScript and Python.

About this Book

The current Web is mostly a collection of linked documents useful for human consumption. The evolving Web includes data collections that may be identified and linked so that they can be consumed by automated processes. The W3C approach to this is Linked Data and it is already used by Google, Facebook, IBM, Oracle, and government agencies worldwide.

Linked Data presents practical techniques for using Linked Data on the Web via familiar tools like JavaScript and Python. You'll work step-by-step through examples of increasing complexity as you explore foundational concepts such as HTTP URIs, the Resource Description Framework (RDF), and the SPARQL query language. Then you'll use various Linked Data document formats to create powerful Web applications and mashups.

Written to be immediately useful to Web developers, this book requires no previous exposure to Linked Data or Semantic Web technologies.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

What's Inside

  • Finding and consuming Linked Data
  • Using Linked Data in your applications
  • Building Linked Data applications using standard Web techniques

About the Authors

David Wood is co-chair of the W3C's RDF Working Group. Marsha Zaidman served as CS chair at University of Mary Washington. Luke Ruth is a Linked Data developer on the Callimachus Project. Michael Hausenblas led the Linked Data Research Centre.

Table of Contents

    PART 1 THE LINKED DATA WEB
  1. Introducing Linked Data
  2. RDF: the data model for Linked

  3. Consuming Linked Data

  4. PART 2 TAMING LINKED DATA

  5. Creating Linked Data with

  6. SPARQL—querying the Linked

  7. PART 3 LINKED DATA IN THE WILD

  8. Enhancing results from search

  9. RDF database fundamentals

  10. Datasets

  11. PART 4 PULLING IT ALL TOGETHER

  12. Callimachus: a Linked Data

  13. Publishing Linked Data—a recap
  14. The evolving Web

Synopsis:

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. Step-by-step, 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.

Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.

About the Author

David Wood architected the first large-scale RDF database, re-architected the Persistent URL service to support Linked Data, and co-founded the Callimachus Project. He is also the co-chair of the World Wide Web Consortium's RDF Working Group.

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.

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.

Product Details

ISBN:
9781617290398
Author:
Wood, David
Publisher:
Manning Publications
Author:
Hausenblas, Michael
Author:
Ruth, Luke
Author:
Zaidman, Marsha
Subject:
DBpedia;FOAF;HTTP;JSON;LOD;Linked Data;Linked Open Data;RDF;RDFa;SIOC;SPARQL;Schema.org;URI;W3C;Web application;Web-scale;contextual data;data integration;data model;mashup;microdata;open data;vocabularies
Edition Description:
Print PDF
Publication Date:
20140131
Binding:
TRADE PAPER
Language:
English
Pages:
336
Dimensions:
9.25 x 7.38 in

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Related Subjects

Computers and Internet » Computer Languages » Java
Computers and Internet » Internet » Web » Site Design
Computers and Internet » Internet » Web » Web Programming

Linked Data New Trade Paper
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$49.99 In Stock
Product details 336 pages Manning Publications - English 9781617290398 Reviews:
"Synopsis" by ,

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. Step-by-step, 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.

Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.

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