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Bibliographic Details

Title: Linked Data : Structured Data on the Web
Publisher: Manning Publications Co. LLC
Publication Date: 2014
Language: English
ISBN 10: 1617290394
ISBN 13: 9781617290398
Binding: Soft cover
Condition: Good
Weight: 1.243 pounds

About this title

Synopsis

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.

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

LINKED DATA

Introducing Linked Data
RDF: the data model for Linked
Consuming Linked Data
Creating Linked Data with
SPARQL—querying the Linked

LINKED DATA

Enhancing results from search
RDF database fundamentals
Datasets
Callimachus: a Linked Data
Publishing Linked Data—a recap
The evolving Web

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 is a Solution Engineering Lead in the AWS open source observability service team. He covers Prometheus, Grafana, and OpenTelemetry upstream and in managed services. Before Amazon, Michael worked at Red Hat, Mesosphere (now D2iQ), and MapR.

"About this title" may belong to another edition of this title.

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