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

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.

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

Introducing Linked Data

RDF: the data model for Linked

Consuming Linked Data

PART 2 TAMING LINKED DATA

Creating Linked Data with

SPARQL—querying the Linked

PART 3 LINKED DATA IN THE WILD

Enhancing results from search

RDF database fundamentals

Datasets

PART 4 PULLING IT ALL TOGETHER

Callimachus: a Linked Data

Publishing Linked Data—a recap

The evolving Web

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