Book Description
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.
Table of Contents
- Copyright
- Brief Table of Contents
- Table of Contents
- Foreword
- Preface
- Acknowledgments
- About this Book
- About the Cover Illustration
- Part 1. The Linked Data Web
- Part 2. Taming Linked Data
- Part 3. Linked Data in the wild
- Part 4. Pulling it all together
- Appendix A. Development environments
- Appendix B. SPARQL results formats
- Glossary
- Index
- List of Figures
- List of Tables
- List of Listings