2014年01月31日 星期五 11:25
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.
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
Table of Contents
Part 1: The Linked Data Web
Chapter 1. Introducing Linked Data
Chapter 2. RDF: the data model for Linked Data
Chapter 3. Consuming Linked Data
Part 2: Taming Linked Data
Chapter 4. Creating Linked Data with FOAF
Chapter 5. SPARQL—querying the Linked Data Web
Part 3: Linked Data in the wild
Chapter 6. Enhancing results from search engines
Chapter 7. RDF database fundamentals
Chapter 8. Datasets
Part 4: Pulling it all together
Chapter 9. Callimachus: a Linked Data management system
Chapter 10. Publishing Linked Data—a recap
Chapter 11. The evolving Web
Appendix A. Development environments
Appendix B. SPARQL results formats
2014年01月31日 星期五 11:26
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