Linked Data: Structured Data on the Web

Wood, David; Zaidman, Marsha; Ruth, Luke; Hausenblas, Michael

ISBN 10: 1617290394 / ISBN 13: 9781617290398

Published by Manning (edition First Edition), 2014

About this Item

It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Seller Inventory # 1617290394-8-1

Bibliographic Details

• Title: Linked Data: Structured Data on the Web
• Publisher: Manning (edition First Edition)
• Publication Date: 2014
• Language: English
• ISBN 10: 1617290394
• ISBN 13: 9781617290398
• Binding: Paperback
• Edition: First Edition.
• Condition: Very Good

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.

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

PART 2 TAMING LINKED DATA

4. Creating Linked Data with
5. SPARQL—querying the Linked

PART 3 LINKED DATA IN THE WILD

6. Enhancing results from search
7. RDF database fundamentals
8. Datasets

PART 4 PULLING IT ALL TOGETHER

9. Callimachus: a Linked Data
10. Publishing Linked Data—a recap
11. 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.