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
Introducing Linked Data
RDF: the data model for Linked
Consuming Linked Data
Creating Linked Data with
SPARQL—querying the Linked
Enhancing results from search
RDF database fundamentals
Datasets
Callimachus: a Linked Data
Publishing Linked Data—a recap
The evolving Web