دانلود کتاب Learning SPARQL: Querying and Updating with SPARQL 1.1

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Table of Contents
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
Chapter 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
Chapter 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)
Storing RDF in Files
Storing RDF in Databases
Data Typing
Making RDF More Readable with Language Tags and Labels
Blank Nodes and Why They’re Useful
Named Graphs
Reusing and Creating Vocabularies: RDF Schema and OWL
Linked Data
SPARQL’s Past, Present, and Future
The SPARQL Specifications
Summary
Chapter 3. SPARQL Queries: A Deeper Dive
More Readable Query Results
Using the Labels Provided by DBpedia
Getting Labels from Schemas and Ontologies
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...
Sorting Data
Finding the Smallest, the Biggest, the Count, the Average...
Grouping Data and Finding Aggregate Values within Groups
Querying a Remote SPARQL Service
Federated Queries: Searching Multiple Datasets with One Query
Summary
Chapter 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
Defining Rules with SPARQL
Generating Data About Broken Rules
Using Existing SPARQL Rules Vocabularies
Asking for a Description of a Resource
Summary
Chapter 5. Datatypes and Functions
Datatypes and Queries
Representing Strings
Comparing Values and Doing Arithmetic
Functions
Program Logic Functions
Node Type and Datatype Checking Functions
Node Type Conversion Functions
Datatype Conversion
Checking, Adding, and Removing Spoken Language Tags
String Functions
Numeric Functions
Date and Time Functions
Hash Functions
Extension Functions
Summary
Chapter 6. Updating Data with SPARQL
Getting Started with Fuseki
Adding Data to a Dataset
Deleting Data
Changing Existing Data
Named Graphs
Dropping Graphs
Named Graph Syntax Shortcuts: WITH and USING
Copying and Moving Entire Graphs
Deleting and Replacing Triples in Named Graphs
Summary
Chapter 7. Query Efficiency and Debugging
Efficiency Inside the WHERE Clause
Reduce the Search Space
OPTIONAL Is Very Optional
Triple Pattern Order Matters
FILTERs: Where and What
Property Paths Can Be Expensive
Efficiency Outside the WHERE Clause
Debugging
Manual Debugging
SPARQL Algebra
Debugging Tools
Summary
Chapter 8. Working with SPARQL Query Result Formats
SPARQL Query Results XML Format
Processing XML Query Results
SPARQL Query Results JSON Format
Processing JSON Query Results
SPARQL Query Results CSV and TSV Formats
Using CSV Query Results
TSV Query Results
Summary
Chapter 9. RDF Schema, OWL, and Inferencing
What Is Inferencing?
Inferred Triples and Your Query
More than RDFS, Less than Full OWL
SPARQL and RDFS Inferencing
SPARQL and OWL Inferencing
Using SPARQL to Do Your Inferencing
Querying Schemas
Summary
Chapter 10. Building Applications with SPARQL
Applications and Triples
Property Functions
Model-Driven Development
SPARQL and Web Application Development
SPARQL Processors
Standalone Processors
Triplestore SPARQL Support
Middleware SPARQL Support
Public Endpoints, Private Endpoints
SPARQL and HTTP
GET a Graph of Triples
PUT a Graph of Triples
POST a Graph of Triples
DELETE a Graph of Triples
Summary
Chapter 11. A SPARQL Cookbook
Themes and Variations
Exploring the Data
How Do I Look at All the Data at Once?
Problem
Solution
Discussion
See Also
What Classes Are Declared?
Problem
Solution
Discussion
See Also
What Properties Are Declared?
Problem
Solution
Discussion
See Also
Which Classes Have Instances?
Problem
Solution
Discussion
See Also
What Properties Are Used?
Problem
Solution
Discussion
See Also
Which Classes Use a Particular Property?
Problem
Solution
Discussion
See Also
How Much Was a Given Property Used?
Problem
Solution
Discussion
See Also
How Much Was a Given Class Used?
Problem
Solution
Discussion
See Also
A Given Class Has Lots of Instances. What Are These Things?
Problem
Solution
Discussion
See Also
What Data Is Stored About a Class’s Instances?
Problem
Solution
Discussion
See Also
What Values Does a Given Property Have?
Problem
Solution
Discussion
See Also
A Certain Property’s Values Are Resources. What Data Do We Have About Them?
Problem
Solution
Discussion
See Also
How Do I Find Undeclared Properties?
Problem
Solution
Discussion
See Also
How Do I Treat a URI as a String?
Problem
Solution
Discussion
See Also
Which Data or Property Name Includes a Certain Substring?
Problem
Solution
Discussion
See Also
How Do I Convert a String to a URI?
Problem
Solution
Discussion
See Also
How Do I Query a Remote Endpoint?
Problem
Solution
Discussion
See Also
How Do I Retrieve Triples from a Remote Endpoint?
Problem
Solution
Discussion
See Also
Creating and Updating Data
How Do I Delete All the Data?
Problem
Solution
Discussion
See Also
How Do I Globally Replace a Property Value?
Problem
Solution
Discussion
See Also
How Do I Replace One Property with Another?
Problem
Solution
Discussion
See Also
How Do I Change the Datatype of a Certain Property’s Values?
Problem
Solution
Discussion
See Also
How Do I Turn Resources into Instances of Declared Classes?
Problem
Solution
Discussion
See Also
Summary
Glossary
Index