Learning SPARQL table of contents
(second edition)

•     Preface
• Why Learn SPARQL?
• Organization of This Book
• Conventions Used in This Book
• Documentation Conventions
• Using Code Examples
• Safari Books Online
• How to Contact Us
• Acknowledgments
• 1. Jumping Right In: Some Data and Some Queries
• The Data to Query
• Querying the Data
• More Realistic Data and Matching on Multiple Triples
• Searching for Strings
• What Could Go Wrong?
• Querying a Public Data Source
• Summary
• 2. The Semantic Web, RDF, and Linked Data (and SPARQL)
• What Exactly Is the .Semantic Web.?
• URLs, URIs, IRIs, and Namespaces
• The Resource Description Framework (RDF)
• Reusing and Creating Vocabularies: RDF Schema and OWL
• Linked Data
• SPARQL.s Past, Present, and Future
• The SPARQL Specifications
• Summary
• 3. SPARQL Queries: A Deeper Dive
• More Readable Query Results
• Data That Might Not Be There
• Finding Data That Doesn.t Meet Certain Conditions
• Searching Further in the Data
• Searching with Blank Nodes
• Eliminating Redundant Output
• Combining Different Search Conditions
• FILTERing Data Based on Conditions
• Retrieving a Specific Number of Results
• Querying Named Graphs
• Queries in Your Queries
• Combining Values and Assigning Values to Variables
• Creating Tables of Values in Your Queries
• Sorting, Aggregating, Finding the Biggest and Smallest and...
• Querying a Remote SPARQL Service
• Federated Queries: Searching Multiple Datasets with One Query
• Summary
• 4. Copying, Creating, and Converting Data (and Finding Bad Data)
• Query Forms: SELECT, DESCRIBE, ASK, and CONSTRUCT
• Copying Data
• Creating New Data
• Converting Data
• Finding Bad Data
• Asking for a Description of a Resource
• Summary
• 5. Datatypes and Functions
• Datatypes and Queries
• Functions
• Extension Functions
• Summary
• 6. Updating Data with SPARQL
• Getting Started with Fuseki
• Adding Data to a Dataset
• Deleting Data
• Changing Existing Data
• Named Graphs
• Summary
• 7. Query Efficiency and Debugging
• Efficiency Inside the WHERE Clause
• Efficiency Outside the WHERE Clause
• Debugging
• Summary
• 8. Working with SPARQL Query Result Formats
• SPARQL Query Results XML Format
• SPARQL Query Results JSON Format
• SPARQL Query Results CSV and TSV Formats
• Summary
• 9. RDF Schema, OWL, and Inferencing
• What Is Inferencing?
• SPARQL and RDFS Inferencing
• SPARQL and OWL Inferencing
• Using SPARQL to Do Your Inferencing
• Querying Schemas
• Summary
• 10. Building Applications with SPARQL
• Applications and Triples
• SPARQL and Web Application Development
• SPARQL Processors
• SPARQL and HTTP
• Summary
• 11. A SPARQL Cookbook
• Themes and Variations
• Exploring the Data
  • How Do I Look at All the Data at Once?
  • What Classes Are Declared?
  • What Properties Are Declared?
  • Which Classes Have Instances?
  • What Properties Are Used?
  • Which Classes Use a Particular Property?
  • How Much Was a Given Property Used?
  • How Much Was a Given Class Used?
  • A Given Class Has Lots of Instances. What Are These Things?
  • What Data Is Stored About a Class's Instances?
  • What Values Does a Given Property Have?
  • A Certain Property's Values Are Resources. What Data Do We Have About Them?
  • How Do I Find Undeclared Properties?
  • How Do I Treat a URI as a String?
  • Which Data or Property Name Includes a Certain Substring?
  • How Do I Convert a String to a URI?
  • How Do I Query a Remote Endpoint?
  • How Do I Retrieve Triples from a Remote Endpoint?
• Creating and Updating Data
  • How Do I Delete All the Data?
  • How Do I Globally Replace a Property Value?
  • How Do I Replace One Property with Another?
  • How Do I Change the Datatype of a Certain Property.s Values?
  • How Do I Turn Resources into Instances of Declared Classes?
• Summary
•     Glossary
•     Index