| Description |
1 online resource (xv, 235 pages) : illustrations |
| Summary |
"More and more people are using the query language SPARQL (pronounced 'sparkle') to pull data from a growing collection of public and private data. Whether this data is part of a semantic web project or an integration of two inventory databases on different platforms behind the same firewall, SPARQL is making it easier to access this data using both open source and commercial software. In the words of W3C Director and web inventor Tim Berners-Lee, 'Trying to use the Semantic Web without SPARQL is like trying to use a relational database without SQL. SPARQL lets them query information from databases and other diverse sources in the wild, across the Web.'"--Resource description page. |
| Contents |
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 |
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The Resource Description Format (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 |
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Searching Further in the DataSearching 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; 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 |
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Datatype ConversionChecking, 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; Deleting and Replacing Triples in Named Graphs; Summary; Chapter 7. Building Applications with SPARQL: A Brief Tour; SPARQL and Web Application Development; SPARQL Query Results XML Format; SPARQL Processors |
| Subject |
Query languages (Computer science)
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Querying (Computer science)
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Internet searching.
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RDF (Document markup language)
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Database searching.
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Langages d'interrogation. |
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Bases de données -- Interrogation. |
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Recherche sur Internet. |
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RDF (Langage de balisage) |
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online searching. |
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Database searching |
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Internet searching |
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Query languages (Computer science) |
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Querying (Computer science) |
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RDF (Document markup language) |
| Other Form: |
Print version: DuCharme, Bob. Learning SPARQL. Sebastopol, CA : O'Reilly, ©2011 (OCoLC)752976421 |
| ISBN |
9781449313616 (electronic bk.) |
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1449313612 (electronic bk.) |
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9781449313029 (electronic bk.) |
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1449313027 (electronic bk.) |
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