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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