Structured data on the Web
David Wood, Marsha Zaidman, Luke Ruth, and Michael Hausenblas
MEAP Began: December 2012
Softbound print: Summer 2013 | 375 pages
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Table of Contents, MEAP Chapters & Resources
|Table of Contents||Resources|
PART 1: THE LINKED DATA WEB
1. Introducing Linked Data - FREE
2. RDF: The data model for Linked Data - AVAILABLE
3. Consuming Linked Data - AVAILABLE
PART 2: TAMING LINKED DATA
4. Creating Linked Data with FOAF - AVAILABLE
5. SPARQL - Querying the Linked Data Web - AVAILABLE
PART 3: LINKED DATA IN THE WILD
6. Enhancing results from search engines - AVAILABLE
7. RDF Database Fundamentals - AVAILABLE
8. Datasets - AVAILABLE
PART 4: PULLING IT ALL TOGETHER
9. Callimachus: A Linked Data management system - AVAILABLE
10. Publishing Linked Data—a recap - AVAILABLE
11. The Evolving Web - AVAILABLE
A Development environment - AVAILABLE
B SPARQL Results Formats - AVAILABLE
C Linked Data Glossary - AVAILABLE
The flexible, unstructured nature of the Web is being extended to act as a global database of structured data. Linked Data is a standards-driven model for representing structured data on the Web that gives developers, publishers, and information architects a consistent, predictable way to publish, merge and consume data. The Linked Data model offers the potential to standardize Web data in the same way that SQL standardized large-scale commercial databases. Linked Data has been adopted by many well-known institutions, including Google, Facebook, IBM, Oracle and government agencies, as well as popular Open Source projects such as Drupal.
- Find Linked Data you can reuse
- Use Linked Data in your application
- Create your own Linked Data
- Build Linked Data applications using standard Web techniques
The launch of Schema.org in June 2011 by Google, Microsoft and Yahoo! and the publication of Linked Data by retailers such as Best Buy, Sears and Volkswagen brought Linked Data into the mainstream. This book includes chapters that explore these important commercial use cases and shows how Linked Data is used for search engine optimization (SEO).
Written for Web developers by Web developers, this book requires no previous exposure to Linked Data technologies.
About the Authors
David Wood architected the first large-scale RDF database (http://mulgara.org), re-architected the Persistent URL service (http://purl.org, http://purlz.org) to support Linked Data, and co-founded the Callimachus Project (http://callimachusproject.org). He is co-chair of the World Wide Web Consortiumís RDF Working Group (http://w3.org/2011/rdf-wg/). 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 (http://callimachusproject.org). Michael Hausenblas leads the Linked Data Research Centre in Galway, Ireland. He is the project coordinator of the European Commission FP7 Support Action LOD Around-The-Clock (LATC) and other W3C standardization activities.
About the Early Access Version
This Early Access version of Linked Data enables you to receive new chapters as they are being written. You can also interact with the authors to ask questions, provide feedback and errata, and help shape the final manuscript on the Author Online
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