AI Generated Cheatsheets

SPARQL Cheatsheet

Unique Features

• Query language for retrieving data from RDF graphs
• Supports graph pattern matching and filtering
• Can be used to query data from the semantic web
• Based on RDF and RDF Schema standards
• Can be extended with user-defined functions and operators

Basic Query Structure

SELECT ?variable_name
WHERE {
  // Query pattern
}

Triple Patterns

subject_predicate_object

Query Modifiers

LIMIT limit_value
OFFSET offset_value
ORDER BY variable_name

Filtering

FILTER condition

Optional Patterns

OPTIONAL {
  // Optional pattern
}

Union

{
  // Pattern 1
}
UNION {
  // Pattern 2
}

Grouping and Aggregation

SELECT ?variable_name (aggregate_function(?variable_name) AS ?aggregate_variable_name)
WHERE {
  // Query pattern
}
GROUP BY ?variable_name

User-Defined Functions

PREFIX my_functions: <http://example.org/my_functions#>

SELECT ?variable_name
WHERE {
  // Query pattern
  FILTER my_functions:function_name(?variable_name)
}

Resources

• SPARQL 1.1 Query Language
• SPARQL by Example
• Apache Jena (Java framework for working with RDF and SPARQL)
• RDFLib (Python library for working with RDF and SPARQL)

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