Programming the Semantic Web

Foreword
Preface

Part 1: Semantic Data
1. Why Semantics?
-Data Integration Across the Web
-Traditional Data-Modeling Methods
-Semantic Relationships
-Metadata Is Data
-Building for the Unexpected
-"Perpetual Beta"

2. Expressing Meaning
-An Example: Movie Data
-Building a Simple Triplestore
-Merging Graphs
-Adding and Querying Movie Data
-Other Examples

3. Using Semantic Data
-A Simple Query Language
-Feed-Forward Inference
-Searching for Connections
-Shared Keys and Overlapping Graphs
-Basic Graph Visualization
-Semantic Data Is Flexible

Part 2: Standards and Sources
4. Just Enough RDF
-What Is RDF?
-The RDF Data Model
-RDF Serialization Formats
-Introducing RDFLib
-SPARQL

5. Sources of Semantic Data
-Friend of a Friend (FOAF)
-Linked Data
-Freebase

6. What Do You Mean, “Ontology”?
-What Is It Good For?
-An Introduction to Data Modeling
-Just Enough OWL
-Using Protégé
-Just a Bit More OWL
-Some Other Ontologies
-This Is Not My Beautiful Relational Schema!

7. Publishing Semantic Data
-Embedding Semantics
-Dealing with Legacy Data
-RDFLib to Linked Data


Part 3: Putting It into Practice
8. Overview of Toolkits
-Sesame
-Other RDF Stores
-SIMILE/Exhibit

9. Introspecting Objects from Data
-RDFObject Examples
-RDFObject Framework
-How RDFObject Works

10. Tying It All Together
-A Job Listing Application
-Job Listing Data
-Serving the Website
-A Generic Viewer
-Getting Company Data
-Specialized Views
-Publishing for Others
-Expanding the Data
-Sophisticated Queries
-Visualizing the Job Data
-Further Expansion

Part 4: Epilogue
11. The Giant Global Graph
-Vision, Hype, and Reality
-Participating in the Global Graph Community
-Bracing for Continuous Change

Index