W3C

SPARQL Query Language for RDF

Editors working draft.
Live Draft - version:
$Revision: 1.692 $ of $Date: 2006/07/03 12:33:46 $
Editors:
Eric Prud'hommeaux, W3C <eric@w3.org>
Andy Seaborne, Hewlett-Packard Laboratories, Bristol <andy.seaborne@hp.com>
published W3C Technical Report Version:
Latest published version; see also public-rdf-dawg-comments@w3.org Mail Archives

Abstract

RDF is a flexible and extensible way to represent information about World Wide Web resources. It is used to represent, among other things, personal information, social networks, metadata about digital artifacts, as well as provide a means of integration over disparate sources of information. A standardized query language for RDF data with multiple implementations offers developers and end users a way to write and to consume the results of queries across this wide range of information. Used with a common protocol, applications can access and combine information from across the Web.

This document describes the query language part of the SPARQL Protocol And RDF Query Language for easy access to RDF stores. It is designed to meet the requirements and design objectives described in RDF Data Access Use Cases and Requirements [UCNR]

Status of This document

This is a live document and is subject to change without notice. It reflects the best effort of the editors to reflect implementation experience and incorporate input from various members of the WG, but is not yet endorsed by the WG as a whole.

The change log enumerates changes since the 21 July 2005 Working Draft. Also, since that draft, we have been tracking threads in the public-rdf-dawg-comments archive more closely. A status report is updated every week or so.

Comments that the chair would like the editors of this spec to consider include:

For the definitions, we have an XSLT transformation, defns.xsl, that extracts them from this document. A live version of the output is available via the W3C XSLT service.

See also: SPARQL Test Cases, in progress.


Table of Contents

Appendices

In addition, the collected formal definitions are collected into a single document "SPARQL Query Language for RDF - Formal Definitions".


1 Introduction

An RDF graph is a set of triples; each triple consists of a subject, a predicate and an object. RDF graphs are defined in RDF Concepts and Abstract Syntax [CONCEPTS]. These triples can come from a variety of sources. For instance, they may come directly from an RDF document; they may be inferred from other RDF triples; or they may be the RDF expression of data stored in other formats, such as XML or relational databases. The RDF graph may be virtual, in that it is not fully materialized, only doing the work needed for each query to execute.

SPARQL is a query language for getting information from such RDF graphs. It provides facilities to:

As a data access language, it is suitable for both local and remote use. The companion SPARQL Protocol for RDF document [SPROT] describes the remote access protocol.

1.1 Document Conventions

In this document, examples assume the following namespace prefix bindings unless otherwise stated:

PrefixIRI
rdf http://www.w3.org/1999/02/22-rdf-syntax-ns#
rdfs http://www.w3.org/2000/01/rdf-schema#
xsd http://www.w3.org/2001/XMLSchema#
fn http://www.w3.org/2005/xpath-functions#

2 Making Simple Queries

The SPARQL query language is based on matching graph patterns. The simplest graph pattern is the triple pattern, which is like an RDF triple, but with the possibility of a variable instead of an RDF term in the subject, predicate or object positions. Combining triple patterns gives a basic graph pattern, where an exact match to a graph is needed to fulfill a pattern.

Later sections of this document describe how other graph patterns can be built using the graph operators OPTIONAL and UNION; how graph patterns can be grouped together; how queries can extract information from more than one graph, and how it is also possible to restrict the values allowed in matching a pattern.

2.1 Writing a Simple Query

The example below shows a SPARQL query to find the title of a book from the information in the given RDF graph. The query consists of two parts, the SELECT clause and the WHERE clause. The SELECT clause identifies the variables to appear in the query results, and the WHERE clause has one triple pattern.

Data:

<http://example.org/book/book1> <http://purl.org/dc/elements/1.1/title> "SPARQL Tutorial" .

Query:

SELECT ?title
WHERE
{
  <http://example.org/book/book1> <http://purl.org/dc/elements/1.1/title> ?title .
}

Query Result:

title
"SPARQL Tutorial"

2.1.1 Syntax for IRIs

The terms delimited by "<>" are IRI references [RFC3987]. They stand for IRIs, either directly, or relative to a base IRI.  IRIs are a generalization of URIs [RFC3986] and are fully compatible with URIs and URLs.

The SPARQL syntax provides two abbreviation mechanisms for IRIs, prefixed names and relative IRIs.

Prefixed names

The PREFIX keyword associates a prefix label with an IRI. A prefixed name is a prefix label and a local part, separated by a colon ":". It is mapped to an IRI by concatenating the local part to the IRI corresponding to the prefix.

Relative IRIs

Relative IRIs are combined with base IRIs as per Uniform Resource Identifier (URI): Generic Syntax [RFC3986] using only the basic algorithm in Section 5.2 . Neither Syntax-Based Normalization nor Scheme-Based Normalization (described in sections 6.2.2 and 6.2.3 of RFC3986) is performed. Characters additionally allowed in IRI references are treated in the same way that unreserved characters are treated in URI references, per section 6.5 of Internationalized Resource Identifiers (IRIs) [RFC3987].

The BASE keyword defines the Base IRI used to resolve relative IRIs per RFC3986 section 5.1.1, "Base URI Embedded in Content". Section 5.1.2, "Base URI from the Encapsulating Entity" defines how the Base IRI may come from an encapsulating document, such as a SOAP envelope with an xml:base directive, or a mime multipart document with a Content-Location header. The "Retrieval URI" identified in 5.1.3, Base "URI from the Retrieval URI", is the URL from which a particular SPARQL query was retrieved. If none of the above specifies the Base URI, the default Base URI (section 5.1.4, "Default Base URI") is used.

The following fragments are different ways to write the same IRI:

<http://example.org/book/book1>
BASE <http://example.org/book/>
<book1>
PREFIX book: <http://example.org/book/>
book:book1

2.1.2 Syntax for Literals

The general syntax for literals is a string (enclosed in quotes, either double quotes "" or single quotes '' ), with either an optional language tag (introduced by @) or an optional datatype IRI or prefixed name (introduced by ^^).

As a convenience, integers can be written directly and are interpreted as typed literals of datatype xsd:integer; decimal numbers, where there is '.' in the number but no exponent, are interpreted as xsd:decimal and a number with an exponent is interpreted as an xsd:double. Values of type xsd:boolean can also be written as true or false.

2.1.3 Syntax for Variables

Variables in SPARQL queries have global scope; use of a given name anywhere in a query identifies the same variable. Variables are indicated by "?"; the "?" does not form part of the variable name. "$" is an alternative to "?". In a query, $abc and ?abc are the same variable. The possible names for variables are given in the SPARQL grammar.

2.1.4 Syntax for Blank Nodes

A blank node can appear in a query pattern and will take part in the pattern matching.  Blank nodes are indicated by either the form "_:a" or use of "[ ]".  Further syntactic forms involving blank nodes are described below.

2.1.5 Syntax for Triple Patterns

Triple Patterns are written as a list of subject, predicate, object; there are abbreviated ways of writing some common triple pattern constructs.

2.1.6 Examples of Query Syntax

The following examples express the same query:

PREFIX  dc: <http://purl.org/dc/elements/1.1/>
SELECT  ?title
WHERE   { <http://example.org/book/book1> dc:title ?title }
PREFIX  dc: <http://purl.org/dc/elements/1.1/>
PREFIX  : <http://example.org/book/>
SELECT  $title
WHERE   { :book1  dc:title  $title }
BASE    <http://example.org/book/>
PREFIX  dc: <http://purl.org/dc/elements/1.1/>
SELECT  $title
WHERE   { <book1>  dc:title  ?title }

Prefixes are syntactic: the prefix name does not affect the query, nor do prefix names in queries need to be the same prefixes as used in a serialization of the data. The following query is equivalent to the previous examples and will give the same results when applied to the same data:

BASE    <http://example.org/book/>
PREFIX  dcore:  <http://purl.org/dc/elements/1.1/>
SELECT  ?title
WHERE   { <book1> dcore:title ?title }

2.1.7 Data descriptions used in this document

The data format used in this document is Turtle [TURTLE], used to show each triple explicitly. Turtle allows URIs to be abbreviated with prefixes:

@prefix dc:   <http://purl.org/dc/elements/1.1/> .
@prefix :     <http://example.org/book/> .
:book1  dc:title  "SPARQL Tutorial" .

2.1.8 Result Descriptions used in this document

The term "binding" is used as a descriptive term to refer to a pair of (variable, RDF term). In this document, we illustrate results in tabular form. If variable x is bound to "Alice" and variable y is bound to <http://example/a>, we show this as:

x y
"Alice" <http://example/a>

Not every binding needs to exist in every row of the table. Optional matches and alternative matches may leave some variables unbound.

Results can be returned in XML using the SPARQL Query Results XML Format [RESULTS].

2.2 Initial Definitions

The following terms are used from RDF Concepts and Abstract Syntax [CONCEPTS]

RDF Concepts and Abstract Syntax "anticipates an RFC on Internationalized Resource Identifiers. Implementations may issue warnings concerning the use of RDF URI References that do not conform with [IRI draft] or its successors."

SPARQL is defined in terms of IRIs, a subset of RDF URI References that omits spaces.

Definition: RDF Term

let I be the set of all IRIs.
let RDF-L be the set of all RDF Literals
let RDF-B be the set of all blank nodes in RDF graphs

The set of RDF Terms, RDF-T, is I union RDF-L union RDF-B.

This definition of RDF Term collects together several basic notions from the RDF data model,  but updated to refer to IRIs rather than RDF URI references.

Note that all IRIs are absolute; they may or may not include a fragment identifier [RFC3987, section 3.1]. IRIs include URIs [RFC3986] and URLs. The abbreviated forms (relative IRIs and prefixed names) in the SPARQL syntax are resolved to produce absolute IRIs.

Definition: Query Variable

A query variable is a member of the set V where V is infinite and disjoint from RDF-T.

Definition: Graph Pattern

A Graph Pattern is one of:

Definition: SPARQL Query

A SPARQL query is a tuple (GP, DS, SM, R) where:

The graph pattern of a query is called the query pattern.

The graph pattern may be the empty pattern. The set of solution modifiers may be the empty set.

2.3 Triple Patterns

The building blocks of queries are triple patterns. The following triple pattern has a subject variable (the variable book), a predicate  dc:title and an object variable (the variable title).

 ?book dc:title ?title .

Definition: Triple Pattern

A triple pattern is member of the set:
    (RDF-T union V) x (I union V) x (RDF-T union V)

This definition of Triple Pattern includes literal subjects. This has been noted by RDF-core.

"[The RDF core Working Group] noted that it is aware of no reason why literals should not
  be subjects and a future WG with a less restrictive charter may
  extend the syntaxes to allow literals as the subjects of statements."

Any SPARQL triple pattern with a literal as subject will fail to match on any RDF graph.

2.4 Pattern Solutions

Definition: Pattern Solution

A variable substitution is a substitution function from a subset of V, the set of variables, to the set of RDF terms, RDF-T.

A pattern solution, S, is a variable substitution whose domain includes all the variables in V and whose range is a subset of the set of RDF terms.

The result of replacing every member v of V in a graph pattern P by S(v) is written S(P).

If v is not in the domain of S then S(v) is defined to be v.

The term "solution" is used for "pattern solution" where it is unambiguous.

Graph patterns match against the default graph of an RDF dataset, except for the RDF Dataset Graph Pattern. In this section, all matching is described for a single graph, being the default graph of the RDF dataset being queried.

For example, the query:

PREFIX  dc: <http://purl.org/dc/elements/1.1/>
SELECT  ?book ?title
WHERE   { ?book dc:title ?title }

has a single triple pattern as the query pattern. It matches a graph of a single triple:

<http://example.org/book/book1> <http://purl.org/dc/elements/1.1/title> "SPARQL" .

with solution:

book title
<http://example.org/book/book1> "SPARQL"

2.5 Basic Graph Patterns

A basic graph pattern is a set of triple patterns and forms the basis of SPARQL query matching. Matching a basic graph pattern is defined in terms of generic entailment to allow for future extension of the language.

Definition: Basic Graph Pattern

A Basic Graph Pattern is a set of Triple Patterns.

Definition: E-entailment Regime

An E-entailment regime is a binary relation between subsets of RDF graphs.

A graph in the range of an E-entailment is called well-formed for the E-entailment.

This specification covers only simple entailment [RDF-MT] as E-entailment. Examples of other E-entailment regimes are RDF entailment [RDF-MT], RDFS entailment [RDF-MT], OWL entailment [OWL-Semantics].

Definition: Basic Graph Pattern equivalence

Two basic graph patterns are equivalent if there is a bijection M between the terms of the triple patterns that maps blank nodes to blank nodes and maps variables, literals and IRIs to themselves, such that a triple ( s, p, o ) is in the first pattern if and only if the triple ( M(s), M(p) M(o) ) is in the second.

This definition extends that for RDF graph-equivalence to basic graph patterns by preserving variable names across equivalent graphs.

2.5.1 General Framework

Definition: Scoping Set

A Scoping Set B is some set of RDF terms.

The scoping set restricts the values of variable assignments in a solution. The scoping set may be characterized differently by different entailment regimes.

Definition: Scoping Graph

The Scoping Graph G' for RDF graph G, is an RDF Graph that is graph-equivalent to G

The scoping graph makes the graph to be matched independent of the chosen blank node names.

The same scoping set and scoping graph is used for all basic graph pattern matching in a single SPARQL query request.

Definition: Basic Graph Pattern E-matching

Given an entailment regime E, a basic graph pattern BGP, and RDF graph G, with scoping graph G', then BGP E-matches with pattern solution S on graph G with respect to scoping set B if:

The introduction of the basic graph pattern BGP' in the above definition makes the query basic graph pattern independent of the choice of blank node names in the basic graph pattern.

2.5.2 SPARQL Basic Graph Pattern Matching

These definitions allow for future extensions to SPARQL. This document defines SPARQL for simple entailment and the scoping set B is the set of all RDF terms in G'.

When using simple entailment, the operation of querying an RDF graph provides access to the graph structure, up to blank node renaming; nothing that is not already in the graph G needs to be inferred or constructed, even implicitly.

A pattern solution can then be defined as follows: to match a basic graph pattern under simple entailment, it is possible to proceed by finding a mapping from blank nodes and variables in the basic graph pattern to terms in the graph being matched; a pattern solution is then a mapping restricted to just the variables, possibly with blank nodes renamed. Moreover, a uniqueness property guarantees the interoperability between SPARQL systems: given a graph and a basic graph pattern, the set of all the pattern solutions is unique up to blank node renaming.

2.5.3 Example of Basic Graph Pattern Matching

As an example of a Basic Graph Pattern:

Data:

@prefix foaf:    <http://xmlns.com/foaf/0.1/> .

_:a  foaf:name   "Johnny Lee Outlaw" .
_:a  foaf:mbox   <mailto:outlaw@example.com> .

_:b  foaf:name   "A. N. Other" .
_:b  foaf:mbox   <mailto:other@example.com> .

There is a blank node [CONCEPTS] in this dataset, identified by _:a. The label is only used within the file for encoding purposes. The label information is not in the RDF graph.

Query:

PREFIX foaf:   <http://xmlns.com/foaf/0.1/>
SELECT ?mbox
WHERE
  { ?x foaf:name "Johnny Lee Outlaw" .
    ?x foaf:mbox ?mbox }

Query Result:

mbox
<mailto:outlaw@example.com>

This query contains a basic graph pattern of two triple patterns, each of which must match with the same solution for the graph pattern to match. The pattern solution matching the basic graph pattern maps the variable 'x' to blank node _:a and variable 'mbox' to the IRI mailto:outlaw@example.com. The query only returns the variable 'mbox'

2.5.4 Basic Graph Patterns in the SPARQL Syntax

In the SPARQL syntax,  Basic Graph Patterns are sequences of triple patterns mixed with value constraints. Other graph patterns separate basic patterns. The two query fragments below each contain the same basic graph pattern of

{ _:x :p ?v . _:x :q ?w . }

with the scope of the blank node label being the basic graph pattern.

{ _:x :p ?v .
  FILTER (?v < 3) .
  _:x :q ?w .
}
{ _:x :p ?v .
  _:x :q ?w .
  FILTER (?v < 3) .
}

2.6 Multiple Matches

The results of a query is the set of all pattern solutions that match the query pattern, giving all the ways a query can match the graph being queried. Each result is one solution to the query and there may be zero, one or multiple results to a query.

Data:

@prefix foaf:  <http://xmlns.com/foaf/0.1/> .

_:a  foaf:name   "Johnny Lee Outlaw" .
_:a  foaf:mbox   <mailto:jlow@example.com> .
_:b  foaf:name   "Peter Goodguy" .
_:b  foaf:mbox   <mailto:peter@example.org> .

Query:

PREFIX foaf:   <http://xmlns.com/foaf/0.1/>
SELECT ?name ?mbox
WHERE
  { ?x foaf:name ?name .
    ?x foaf:mbox ?mbox }

Query Result:

name mbox
"Johnny Lee Outlaw" <mailto:jlow@example.com>
"Peter Goodguy" <mailto:peter@example.org>

The results enumerate the RDF terms to which the selected variables can be bound in the query pattern. In the above example, the following two subsets of the data provided the two matches.

 _:a foaf:name  "Johnny Lee Outlaw" .
 _:a foaf:box   <mailto:jlow@example.com> .
 _:b foaf:name  "Peter Goodguy" .
 _:b foaf:box   <mailto:peter@example.org> .

This is a basic graph pattern match, and all the variables used in the query pattern must be bound in every solution.

2.7 Blank Nodes in Query Results

The presence of blank nodes in query results can be indicated by labels in the serialization of query results.

Blank nodes in the results of a query are from the scoping set, but this information cannot be used by an application or client which receives these results, since all blank nodes in subsequent queries are treated as being local to that query. In effect, this means that information about co-occurrences of blank nodes may be treated as scoped to the results as defined in " SPARQL Query Results XML Format" or the CONSTRUCT result form.

Data:

@prefix foaf:  <http://xmlns.com/foaf/0.1/> .

_:a  foaf:name   "Alice" .
_:b  foaf:name   "Bob" .

Query:

PREFIX foaf:   <http://xmlns.com/foaf/0.1/>
SELECT ?x ?name
WHERE  { ?x foaf:name ?name }
x name
_:c "Alice"
_:d "Bob"

The results above could equally be given with different blank node labels because the labels in the results only indicate whether RDF terms in the solutions were the same or different.

x name
_:r "Alice"
_:s "Bob"

These two results have the same information: the blank nodes used to match the query are different in the two solutions. There would be no relation if the label _:a were used in the results and the blank node label in the data graph.

2.8 Other Syntactic Forms

There are a number of syntactic forms that abbreviate some common sequences of triples. These syntactic forms do not change the meaning of the query.

2.8.1 Predicate-Object Lists

Triple patterns with a common subject can be written so that the subject is only written once, and used for more than one triple pattern by employing the ";" notation.

    ?x  foaf:name  ?name ;
        foaf:mbox  ?mbox .

This is the same as writing the triple patterns:

    ?x  foaf:name  ?name .
    ?x  foaf:mbox  ?mbox .

2.8.2 Object Lists

If triple patterns share both subject and predicate, then these can be written using the "," notation.

    ?x foaf:nick  "Alice" , "Alice_" .

is the same as writing the triple patterns:

   ?x  foaf:nick  "Alice" .
   ?x  foaf:nick  "Alice_" .

Note that both the triple patterns involving foaf:nick will need to match, not that one or the other should match.

Object lists can be combined with predicate-object lists:

   ?x  foaf:name ?name ; foaf:nick  "Alice" , "Alice_" .

giving:

   ?x  foaf:name  ?name .
   ?x  foaf:nick  "Alice" .
   ?x  foaf:nick  "Alice_" .

2.8.3 Blank Nodes in Queries

Blank nodes have labels which are scoped to the basic graph pattern. They are written as "_:a" for a blank node with label "a".

A blank node that is used in only one place in the query syntax can be abbreviated with []. A unique blank node will be created and used to form the triple pattern.

The [:p :v] construct can be used in triple patterns. It creates a blank node label which is used as the subject of all contained predicate-object pairs.  The created blank node can also be used in further triple patterns in the subject and object positions.

The following two forms

[ :p "v" ] .
[] :p "v" .

allocate a unique blank node label (here "b57") and are equivalent to writing:

_:b57 :p "v" .

This allocated blank node label can be used as the subject or object of further triple patterns. For example, as a subject:

[ :p "v" ] :q "w" .

is equivalent to the two triples:

_:b57 :p "v" .
_:b57 :q "w" .

and as an object:

:x :q [ :p "v" ] .

is equivalent to the two triples:

:x  :q _:b57 .
_:b57 :p "v" .

Abbreviated blank node syntax can be combined with other abbreviations for common subjects and predicates.

  [ foaf:name  ?name ;
    foaf:mbox  <mailto:alice@example.org> ]

This is the same as writing the following basic graph pattern for some uniquely allocated blank node:

  _:b18  foaf:name  ?name .
  _:b18  foaf:mbox  <mailto:alice@example.org> .

2.8.4 RDF Collections

RDF collections can be written in triple patterns using the syntax "(  )". The form () is an alternative for the IRI rdf:nil which is  http://www.w3.org/1999/02/22-rdf-syntax-ns#nil. When used with collection elements, such as (1 ?x 3 4), triple patterns and blank nodes are allocated for the collection and the blank node at the head of the collection can be used as a subject or object in other triple patterns.

(1 ?x 3 4) :p "w" .

is a short form for:

    _:b0  rdf:first  1 ;
          rdf:rest   _:b1 .
    _:b1  rdf:first  ?x ;
          rdf:rest   _:b2 .
    _:b2  rdf:first  3 ;
          rdf:rest   _:b3 .
    _:b3  rdf:first  4 ;
          rdf:rest   rdf:nil .
    _:b0  :p         "w" .  

RDF collections can be nested and can involve other syntactic forms:

(1 [:p :q] ( 2 ) ) .

is a short form for:

    _:b0  rdf:first  1 ;
          rdf:rest   _:b1 .
    _:b1  rdf:first  _:b2 .
    _:b2  :p         :q .
    _:b1  rdf:rest   _:b3 .
    _:b3  rdf:first  _:b4 .
    _:b4  rdf:first  2 ;
          rdf:rest   rdf:nil .
    _:b3  rdf:rest   rdf:nil .

2.8.5 rdf:type

The keyword "a" can be used as a predicate in a triple pattern and is an alternative for the IRI rdf:type ,  which is http://www.w3.org/1999/02/22-rdf-syntax-ns#type. This keyword is case-sensitive.

  ?x  a  :Class1 .
  [ a :appClass ] :p "v" .
  ?x    rdf:type  :Class1 .
  _:b0  rdf:type  :appClass .
  _:b0  :p        "v" .

2.9 Querying Reification Vocabulary

RDF defines a reification vocabulary which provides for describing RDF statements without stating them. These descriptions of statements can be queried by using the defined vocabulary.

@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix dc:  <http://purl.org/dc/elements/1.1/> .
@prefix :    <http://example/ns#> .

_:a   rdf:subject   <http://example.org/book/book1> .
_:a   rdf:predicate dc:title .
_:a   rdf:object    "SPARQL" .
_:a   :saidBy       "Alice" .

_:b   rdf:subject   <http://example.org/book/book1> .
_:b   rdf:predicate dc:title .
_:b   rdf:object    "SPARQL Tutorial" .
_:b   :saidBy       "Bob" .

In this example data, there is no RDF triple giving the title of the book; there are triples that describe two such RDF statements but the statements themselves are not asserted in the graph. A query asking for any titles of any book returns nothing.

PREFIX dc: <http://purl.org/dc/elements/1.1/>

SELECT ?book ?title
WHERE
{ ?book dc:title ?title }

Query Result:

book title

There are no triples in the graph with dc:title in the property position (it appears in the object position in the data).

A query can ask about descriptions of statements made by "Bob":

PREFIX rdf:  <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
PREFIX dc:   <http://purl.org/dc/elements/1.1/>
PREFIX :     <http://example/ns#>

SELECT ?book ?title
WHERE
{ ?t rdf:subject    ?book  .
  ?t rdf:predicate  dc:title .
  ?t rdf:object     ?title .
  ?t :saidBy        "Bob" .
}

and there is one such description for a statement made by Bob:

book title
<http://example.org/book/book1> "SPARQL Tutorial"

3 Working with RDF Literals

An RDF Literal is written in SPARQL as a string containing the lexical form of the literal, followed by an optional language tag or an optional datatype. There are convenience forms for numeric-types literals which are of type xsd:integer, xsd:decimal, xsd:double and also for  xsd:boolean.

Examples of literal syntax in SPARQL include:

3.1 Matching RDF Literals

The data below contains a number of RDF literals:

@prefix dt:   <http://example.org/datatype#> .
@prefix ns:   <http://example.org/ns#> .
@prefix :     <http://example.org/ns#> .
@prefix xsd:  <http://www.w3.org/2001/XMLSchema#> .

:x   ns:p     "42"^^xsd:integer .
:y   ns:p     "abc"^^dt:specialDatatype .
:z   ns:p     "cat"@en .

This RDF data is the target for query examples in the following sections.

3.1.1 Matching Integers

The pattern in the following query has a solution :x because 42 is syntax for "42"^^<http://www.w3.org/2001/XMLSchema#integer>.

SELECT ?v WHERE { ?v ?p 42 }

3.1.2 Matching Arbitrary Datatypes

The following query has a solution with variable v being :y. The query processor does not have to have any understanding of the values in the space of the datatype because, in this case, lexical form and datatype IRI both match exactly.

SELECT ?v WHERE { ?v ?p "abc"^^<http://example.org/datatype#specialDatatype> }

3.1.3 Matching Language Tags

This following query has no solution because "cat" is not the same RDF literal as "cat"@en:

SELECT ?x WHERE { ?x ?p "cat" }

but this does find a solution where variable x is substituted by :z:

SELECT ?x WHERE { ?x ?p "cat"@en }

3.2 Value Constraints

Graph pattern matching creates bindings of variables. It is possible to further restrict solutions by constraining the allowable bindings of variables to RDF Terms. Value constraints take the form of boolean-valued expressions; the language also allows application-specific constraints on the values in a solution.

Data:

@prefix dc:   <http://purl.org/dc/elements/1.1/> .
@prefix :     <http://example.org/book/> .
@prefix ns:   <http://example.org/ns#> .

:book1  dc:title  "SPARQL Tutorial" .
:book1  ns:price  42 .
:book2  dc:title  "The Semantic Web" .
:book2  ns:price  23 .

Query:

PREFIX  dc:  <http://purl.org/dc/elements/1.1/>
PREFIX  ns:  <http://example.org/ns#>
SELECT  ?title ?price
WHERE   { ?x ns:price ?price .
          FILTER (?price < 30) .
          ?x dc:title ?title . }

Query Result:

title price
"The Semantic Web" 23

By having a constraint on the "price" variable, only book2 matches the query because there is a restriction on the allowable values of "price".

3.3 Value Constraints – Definition

Definition: Value Constraint

A value constraint is a boolean-valued expression of variables and RDF Terms.

For value constraint C, a solution S matches C if S(C) is true, where S(C) is the boolean-valued expression obtained by substitution of the variables mentioned in C.

Constraints may be restrictions of the value of an RDF Term or they may be restrictions on some part of an RDF term, such as its lexical form. There is a set of functions & operators in SPARQL for constraints. In addition, there is an extension mechanism to provide access to functions that are not defined in the SPARQL language.

A constraint may lead to an error condition when testing some RDF term. The exact error will depend on the constraint: for example, in numeric operations, solutions with variables bound to a non-number or a blank node will lead to an error. Any potential solution that causes an error condition in a constraint will not form part of the final results, but does not cause the query to fail.

3.4 Matching Values and RDF D-entailment

RDF defines D-Entailment where extra semantic conditions are allowed for datatypes. When matching RDF literals in graph patterns, the datatype lexical-to-value mapping may be reflected into the underlying RDF graph, leading to additional matches where it is known that two literals are the same value. RDF semantics does not require this of all RDF graphs.

4 Graph Patterns

Complex graph patterns can be made by combining simpler graph patterns. The ways of creating graph patterns are:

4.1 Group Graph Patterns

Definition: Group Graph Pattern

A group graph pattern GP is a set of graph patterns, GPi.

A solution of Group Graph Pattern GP on graph G is any solution S such that, for every element GPi of GP, S is a solution of GPi.

For any solution, the same variable is given the same value everywhere in the set of graph patterns making up the group graph pattern. For example, this query has a group graph pattern of one basic graph pattern as the query pattern.

In a SPARQL query string, a group graph pattern is delimited with braces: {}.

PREFIX foaf:    <http://xmlns.com/foaf/0.1/>
SELECT ?name ?mbox
WHERE  {
          ?x foaf:name ?name .
          ?x foaf:mbox ?mbox .
       }
The same solutions would be obtained from a query that grouped the triple patterns in basic graph patterns as below:
PREFIX foaf:    <http://xmlns.com/foaf/0.1/>
SELECT ?name ?mbox
WHERE  { { ?x foaf:name ?name . }
         { ?x foaf:mbox ?mbox . }
       }

4.2 Empty Group Pattern

The group pattern:

{ }

matches any graph (including the empty graph).

@@ Example of SELECT * {}

4.3 Unbound variables

Solutions to graph patterns do not necessarily have to have every variable bound in every solution. SPARQL query patterns are built up from basic patterns which do associate RDF terms with each variable mentioned in the pattern; OPTIONAL and UNION graph patterns can lead to query results where a variable may be bound in some solutions, but not in others.

4.3 Order of Evaluation

There is no implied order of graph patterns within a Group Graph Pattern. Any solution for the group graph pattern that can satisfy all the graph patterns in the group is valid, independently of the order that may be implied by the lexical order of the graph patterns in the group.

5 Including Optional Values

Basic graph patterns allow applications to make queries where the entire query pattern must match for there to be a solution. For every solution of the query, every variable is bound to an RDF Term in a pattern solution. However, regular, complete structures cannot be assumed in all RDF graphs and it is useful to be able to have queries that allow information to be added to the solution where the information is available, but not to have the solution rejected because some part of the query pattern does not match. Optional matching provides this facility; if the optional part does not lead to any solutions, it creates no bindings.

5.1 Optional Pattern Matching

Optional parts of the graph pattern may be specified syntactically with the OPTIONAL keyword applied to a graph pattern:

pattern OPTIONAL { pattern }

Data:

@prefix foaf:       <http://xmlns.com/foaf/0.1/> .
@prefix rdf:        <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .

_:a  rdf:type        foaf:Person .
_:a  foaf:name       "Alice" .
_:a  foaf:mbox       <mailto:alice@example.com> .
_:a  foaf:mbox       <mailto:alice@work.example> .

_:b  rdf:type        foaf:Person .
_:b  foaf:name       "Bob" .
PREFIX foaf: <http://xmlns.com/foaf/0.1/>
SELECT ?name ?mbox
WHERE  { ?x foaf:name  ?name .
         OPTIONAL { ?x  foaf:mbox  ?mbox }
       }

With the data above, the query result is:

name mbox
"Alice" <mailto:alice@example.com>
"Alice" <mailto:alice@work.example>
"Bob"

There is no value of mbox in the solution where the name is "Bob". It is unbound.

This query finds the names of people in the data. If there is a triple with predicate mbox and same subject, a solution will contain the object of that triple as well. In the example, only a single triple pattern is given in the optional match part of the query but, in general, it is any graph pattern. The whole graph pattern of an optional graph pattern must match for the optional graph pattern to affect the query solution.

The OPTIONAL keyword is left-associative :

pattern OPTIONAL { pattern } OPTIONAL { pattern }

matches the same as:

{ pattern OPTIONAL { pattern } } OPTIONAL { pattern }

5.2 Constraints in Optional Pattern Matching

Constraints can be given in an optional graph pattern as this example shows:

@prefix dc:   <http://purl.org/dc/elements/1.1/> .
@prefix :     <http://example.org/book/> .
@prefix ns:   <http://example.org/ns#> .

:book1  dc:title  "SPARQL Tutorial" .
:book1  ns:price  42 .
:book2  dc:title  "The Semantic Web" .
:book2  ns:price  23 .
PREFIX  dc:  <http://purl.org/dc/elements/1.1/>
PREFIX  ns:  <http://example.org/ns#>
SELECT  ?title ?price
WHERE   { ?x dc:title ?title .
          OPTIONAL { ?x ns:price ?price . FILTER (?price < 30) }
        }
title price
"SPARQL Tutorial"
"The Semantic Web" 23

No price appears for the book with title "SPARQL Tutorial" because the optional graph pattern did not lead to a solution involving the variable "price".

5.3 Multiple Optional Graph Patterns

Graph patterns are defined recursively. A graph pattern may have zero or more optional graph patterns, and any part of a query pattern may have an optional part. In this example, there are two optional graph patterns.

Data:

@prefix foaf:       <http://xmlns.com/foaf/0.1/> .

_:a  foaf:name       "Alice" .
_:a  foaf:homepage   <http://work.example.org/alice/> .

_:b  foaf:name       "Bob" .
_:b  foaf:mbox       <mailto:bob@work.example> .

Query:

PREFIX foaf: <http://xmlns.com/foaf/0.1/>
SELECT ?name ?mbox ?hpage
WHERE  { ?x foaf:name  ?name .
         OPTIONAL { ?x foaf:mbox ?mbox } .
         OPTIONAL { ?x foaf:homepage ?hpage }
       }

Query result:

name mbox hpage
"Alice" <http://work.example.org/alice/>
"Bob" <mailto:bob@work.example>

5.4 Optional Matching – Formal Definition

In an optional match, either an additional graph pattern matches a graph, thereby defining one or more pattern solutions; or it passes the solution without adding any additional bindings.

Definition: Optional Graph Pattern

An optional graph pattern is a combination of a pair of graph patterns. The second pattern modifies pattern solutions of the first pattern but does not fail matching of the overall optional graph pattern.

If Opt(A, B) is an optional graph pattern, where A and B are graph patterns, then S is a solution of optional graph pattern if S is a pattern solution of A and of B otherwise if S is a solution to A, but not to A and B.

The syntactic form:

{ OPTIONAL { pattern } }

is defined to be

{ { } OPTIONAL { pattern } }

5.5 Nested Optional Graph Patterns

Optional patterns can occur inside any group graph pattern, including a group graph pattern which itself is optional, forming a nested pattern. The outer optional graph pattern must match for any nested optional pattern to be matched.

Data:

@prefix foaf:       <http://xmlns.com/foaf/0.1/> .
@prefix vcard:      <http://www.w3.org/2001/vcard-rdf/3.0#> .

_:a  foaf:name     "Alice" .
_:a  foaf:mbox     <mailto:alice@work.example> .
_:a  vcard:N       _:x .

_:x  vcard:Family  "Hacker" .
_:x  vcard:Given   "Alice" .

_:b  foaf:name     "Bob" .
_:b  foaf:mbox     <mailto:bob@work.example> .
_:b  foaf:N        _:z .

_:z  vcard:Family  "Hacker" .

_:e  foaf:name     "Ella" .
_:e  vcard:N       _:y .

_:y  vcard:Given   "Eleanor" .

Query:

PREFIX foaf: <http://xmlns.com/foaf/0.1/>
PREFIX vcard: <http://www.w3.org/2001/vcard-rdf/3.0#>
SELECT ?foafName ?mbox ?gname ?fname
WHERE
  {  ?x foaf:name ?foafName .
     OPTIONAL { ?x foaf:mbox ?mbox } .
     OPTIONAL {  ?x vcard:N ?vc .
                 ?vc vcard:Given ?gname .
                 OPTIONAL { ?vc vcard:Family ?fname }
              }
  }

Query result:

foafName mbox gname fname
"Alice" <mailto:alice@work.example> "Alice" "Hacker"
"Bob" <mailto:bob@work.example>
"Ella" "Eleanor"

This query finds the name, optionally the mbox, and also the vCard given name; further, if there is a vCard Family name as well as the Given name, the query finds that as well.

By nesting the optional pattern involving vcard:Family, the query only matches these if there are appropriate vcard:N and vcard:Given triples in the data. Here the expression is a simple triple pattern on vcard:N but it could be a complex graph pattern with value constraints.

6 Matching Alternatives

SPARQL provides a means of combining graph patterns so that one of several alternative graph patterns may match. If more than one of the alternatives matches, all the possible pattern solutions are found.

6.1 Joining Patterns with UNION

The UNION keyword is the syntax for pattern alternatives.

Data:

@prefix dc10:  <http://purl.org/dc/elements/1.0/> .
@prefix dc11:  <http://purl.org/dc/elements/1.1/> .

_:a  dc10:title     "SPARQL Query Language Tutorial" .
_:a  dc10:creator   "Alice" .

_:b  dc11:title     "SPARQL Protocol Tutorial" .
_:b  dc11:creator   "Bob" .

_:c  dc10:title     "SPARQL" .
_:c  dc11:title     "SPARQL (updated)" .

Query:

PREFIX dc10:  <http://purl.org/dc/elements/1.0/>
PREFIX dc11:  <http://purl.org/dc/elements/1.1/>

SELECT ?title
WHERE  { { ?book dc10:title  ?title } UNION { ?book dc11:title  ?title } }

Query result:

title
"SPARQL Protocol Tutorial"
"SPARQL"
"SPARQL (updated)"
"SPARQL Query Language Tutorial"

This query finds titles of the books in the data, whether the title is recorded using Dublin Core properties from version 1.0 or version 1.1. If the application wishes to know how exactly the information was recorded, then the query:

PREFIX dc10:  <http://purl.org/dc/elements/1.0/>
PREFIX dc11:  <http://purl.org/dc/elements/1.1/>

SELECT ?x ?y
WHERE  { { ?book dc10:title ?x } UNION { ?book dc11:title  ?y } }
x y
"SPARQL (updated)"
"SPARQL Protocol Tutorial"
"SPARQL"
"SPARQL Query Language Tutorial"

will return results with the variables x or y bound depending on which way the query processor matches the pattern to the data. Note that, unlike an OPTIONAL pattern, if neither part of the UNION pattern matched, then the graph pattern would not match.

The UNION operator combines graph patterns, so more than one triple pattern can be given in each alternative possibility:

PREFIX dc10:  <http://purl.org/dc/elements/1.1/>
PREFIX dc11:  <http://purl.org/dc/elements/1.0/>

SELECT ?title ?author
WHERE  { { ?book dc10:title ?title .  ?book dc10:creator ?author }
         UNION
         { ?book dc11:title ?title .  ?book dc11:creator ?author }
       }
author title
"Alice" "SPARQL Protocol Tutorial"
"Bob" "SPARQL Query Language Tutorial"

This query will only match a book if it has both a title and creator predicate from the same version of Dublin Core.

6.2 Union Matching – Formal Definition

Definition: Union Graph Pattern

A union graph pattern is a set of graph patterns GPi.

A union graph pattern matches a graph G with solution S if there is some GPi such that GPi matches G with solution S.

Query results involving a pattern containing GP1 and GP2 will include separate solutions for each match where GP1 and GP2 give rise to different sets of bindings.

7 RDF Dataset

The RDF data model expresses information as graphs, consisting of triples with subject, predicate and object.  Many RDF data stores hold multiple RDF graphs, and record information about each graph, allowing an application to make queries that involve information from more than one graph.

A SPARQL query is executed against an RDF Dataset which represents such a collection of graphs. Different parts of the query may be matched against different graphs as described in the next section. There is one graph, the default graph, which does not have a name, and zero or more named graphs, each identified by IRI.

Definition: RDF Dataset

An RDF dataset is a set:
     { G, (<u1>, G1), (<u2>, G2), . . . (<un>, Gn) }
where G and each Gi are graphs, and each <ui> is an IRI. Each <ui> is distinct.

G is called the default graph. (<ui>, Gi) are called named graphs.

There may be no named graphs.

In the previous sections, all queries have been shown executed against a single graph, being the default graph of an RDF dataset. A query does not need to involve the default graph; the query can just involve matching named graphs.

7.1 Examples of RDF Datasets

The definition of RDF Dataset does not restrict the relationships of named and default graphs. Two useful arrangements are:

Example 1:

# Default graph
@prefix dc: <http://purl.org/dc/elements/1.1/> .

<http://example.org/bob>    dc:publisher  "Bob" .
<http://example.org/alice>  dc:publisher  "Alice" .
# Named graph: http://example.org/bob
@prefix foaf: <http://xmlns.com/foaf/0.1/> .

_:a foaf:name "Bob" .
_:a foaf:mbox <mailto:bob@oldcorp.example.org> .
# Named graph: http://example.org/alice
@prefix foaf: <http://xmlns.com/foaf/0.1/> .

_:a foaf:name "Alice" .
_:a foaf:mbox <mailto:alice@work.example.org> .

In this example, the default graph contains the names of the publishers of two named graphs. The triples in the named graphs are not visible in the default graph in this example.

Example 2:

RDF data can be combined by RDF merge [RDF-MT] of graphs so that the default graph can be made to include the RDF merge of some or all of the information in the named graphs.

In this next example, the named graphs contain the same triples as before. The RDF dataset includes an RDF merge of the named graphs in the default graph, re-labeling blank nodes to keep them distinct.

# Default graph
@prefix foaf: <http://xmlns.com/foaf/0.1/> .

_:x foaf:name "Bob" .
_:x foaf:mbox <mailto:bob@oldcorp.example.org> .

_:y foaf:name "Alice" .
_:y foaf:mbox <mailto:alice@work.example.org> .
# Named graph: http://example.org/bob
@prefix foaf: <http://xmlns.com/foaf/0.1/> .

_:a foaf:name "Bob" .
_:a foaf:mbox <mailto:bob@oldcorp.example.org> .
# Named graph: http://example.org/alice
@prefix foaf: <http://xmlns.com/foaf/0.1/> .

_:a foaf:name "Alice" .
_:a foaf:mbox <mailto:alice@work.example> .

8 Querying the Dataset

When querying a collection of graphs, the GRAPH keyword is used to match patterns against named graphs. This is by either using an IRI to select a graph or using a variable to range over the IRIs naming graphs.

Definition: RDF Dataset Graph Pattern

If D is a dataset {G, (<u1>, G1), ... }, and P is a graph pattern then S is a pattern solution of RDF Dataset Graph Pattern GRAPH(g, P) if either of:

  1. g is an IRI where g = <ui> for some i, and S is pattern solution of P on dataset {Gi, (<u1>, G1), ...}
  2. g is a variable, S maps the variable g to <uj>, where <uj> is an IRI from a named graph of D, and S is a pattern solution of P on dataset {Gj, (<u1>, G1), ...}

The following two graphs will be used in examples:

# Named graph: http://example.org/foaf/aliceFoaf
@prefix  foaf:  <http://xmlns.com/foaf/0.1/> .
@prefix  rdf:    <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix  rdfs:   <http://www.w3.org/2000/01/rdf-schema#> .

_:a  foaf:name     "Alice" .
_:a  foaf:mbox     <mailto:alice@work.example> .
_:a  foaf:knows    _:b .

_:b  foaf:name     "Bob" .
_:b  foaf:mbox     <mailto:bob@work.example> .
_:b  foaf:nick     "Bobby" .
_:b  rdfs:seeAlso  <http://example.org/foaf/bobFoaf> .

<http://example.org/foaf/bobFoaf>
     rdf:type      foaf:PersonalProfileDocument .
# Named graph: http://example.org/foaf/bobFoaf
@prefix  foaf:  <http://xmlns.com/foaf/0.1/> .
@prefix  rdf:    <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix  rdfs:   <http://www.w3.org/2000/01/rdf-schema#> .

_:z  foaf:mbox     <mailto:bob@work.example> .
_:z  rdfs:seeAlso  <http://example.org/foaf/bobFoaf> .
_:z  foaf:nick     "Robert" .
<http://example.org/foaf/bobFoaf>
     rdf:type      foaf:PersonalProfileDocument .

8.1 Accessing Graph Names

The query below matches the graph pattern on each of the named graphs in the dataset and forms solutions which have the src variable bound to IRIs of the graph being matched.

PREFIX foaf: <http://xmlns.com/foaf/0.1/>

SELECT ?src ?bobNick
WHERE
  {
    GRAPH ?src
    { ?x foaf:mbox <mailto:bob@work.example> .
      ?x foaf:nick ?bobNick
    }
  }

The query result gives the name of the graphs where the information was found and the value for Bob's nick:

src bobNick
<http://example.org/foaf/aliceFoaf> "Bobby"
<http://example.org/foaf/bobFoaf> "Robert"

8.2 Restricting by Graph IRI

The query can restrict the matching applied to a specific graph by supplying the graph IRI.  This query looks for Bob's nick as given in the graph http://example.org/foaf/bobFoaf.

PREFIX foaf: <http://xmlns.com/foaf/0.1/>
PREFIX data: <http://example.org/foaf/>

SELECT ?nick
WHERE
  {
     GRAPH data:bobFoaf {
         ?x foaf:mbox <mailto:bob@work.example> .
         ?x foaf:nick ?nick }
  }

which yields a single solution:

nick
"Robert"

8.3 Restricting by Bound Variables

A variable used in the GRAPH clause may also be used in another GRAPH clause or in a graph pattern matched against the default graph in the dataset.

This can be used to find information in one part of a query, and thus restrict the graphs matched in another part of the query. The query below uses the graph with IRI http://example.org/foaf/aliceFoaf to find the profile document for Bob; it then matches another pattern against that graph. The pattern in the second GRAPH clause finds the blank node (variable w) for the person with the same mail box (given by variable mbox) as found in the first GRAPH clause (variable whom), because the blank node used to match for variable whom from Alice's FOAF file is not the same as the blank node in the profile document (they are in different graphs).

PREFIX  data:  <http://example.org/foaf/>
PREFIX  foaf:  <http://xmlns.com/foaf/0.1/>
PREFIX  rdfs:  <http://www.w3.org/2000/01/rdf-schema#>

SELECT ?mbox ?nick ?ppd
WHERE
{
  GRAPH data:aliceFoaf
  {
    ?alice foaf:mbox <mailto:alice@work.example> ;
           foaf:knows ?whom .
    ?whom  foaf:mbox ?mbox ;
           rdfs:seeAlso ?ppd .
    ?ppd  a foaf:PersonalProfileDocument .
  } .
  GRAPH ?ppd
  {
      ?w foaf:mbox ?mbox ;
         foaf:nick ?nick
  }
}
mbox nick ppd
<mailto:bob@work.example> "Robert" <http://example.org/foaf/bobFoaf>

Any triple in Alice's FOAF file giving Bob's nick is not used to provide a nick for Bob because the pattern involving variable nick is restricted by ppd to a particular Personal Profile Document.

8.4 Named and Default Graphs

Query patterns can involve both the default graph and the named graphs. In this example, an aggregator has read in a Web resource on two different occasions.  Each time a graph is read into the aggregator, it is given an IRI by the local system. The graphs are nearly the same but the email address for "Bob" has changed.

The default graph is being used to record the provenance information and the RDF data actually read is kept in two separate graphs, each of which is given a different IRI by the system. The RDF dataset consists of two named graphs and the information about them.

RDF Dataset:

# Default graph
@prefix dc: <http://purl.org/dc/elements/1.1/> .
@prefix g:  <tag:example.org,2005-06-06:> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

g:graph1 dc:publisher "Bob" .
g:graph1 dc:date "2004-12-06"^^xsd:date .

g:graph2 dc:publisher "Bob" .
g:graph2 dc:date "2005-01-10"^^xsd:date .
# Graph: locally allocated IRI: tag:example.org,2005-06-06:graph1
@prefix foaf: <http://xmlns.com/foaf/0.1/> .

_:a foaf:name "Alice" .
_:a foaf:mbox <mailto:alice@work.example> .

_:b foaf:name "Bob" .
_:b foaf:mbox <mailto:bob@oldcorp.example.org> .
# Graph: locally allocated IRI: tag:example.org,2005-06-06:graph2
@prefix foaf: <http://xmlns.com/foaf/0.1/> .

_:a foaf:name "Alice" .
_:a foaf:mbox <mailto:alice@work.example> .

_:b foaf:name "Bob" .
_:b foaf:mbox <mailto:bob@newcorp.example.org> .

This query finds email addresses, detailing the name of the person and the date the information was discovered.

PREFIX foaf: <http://xmlns.com/foaf/0.1/>
PREFIX dc:   <http://purl.org/dc/elements/1.1/>

SELECT ?name ?mbox ?date
WHERE
  {  ?g dc:publisher ?name ;
        dc:date ?date .
    GRAPH ?g
      { ?person foaf:name ?name ; foaf:mbox ?mbox }
  }

The results show that the email address for "Bob" has changed.

name mbox date
"Bob" <mailto:bob@oldcorp.example.org> "2004-12-06"^^xsd:date
"Bob" <mailto:bob@newcorp.example.org> "2005-01-10"^^xsd:date

The IRI for the date datatype has been abbreviated in the results for clarity.

9 Specifying RDF Datasets

A SPARQL query may specify the dataset to be used for matching.  The FROM clauses give IRIs that the query processor can use to create the default graph and the FROM NAMED clause can be used to specify named graphs. The RDF dataset may also be specified in a SPARQL protocol request, in which case the protocol description overrides any description in the query itself. A query service may refuse a query request if the dataset description is not acceptable to the service.

A query processor may use these IRIs in any way to associate an RDF Dataset with a query. For example, it could use IRIs to retrieve documents, parse them and use the resulting triples as one of the graphs; alternatively, it might only service queries that specify IRIs of graphs that it already has stored.

The FROM and FROM NAMED keywords allow a query to specify an RDF dataset by reference; they indicate that the dataset should include graphs that are obtained from representations of the resources identified by the given IRIs (i.e. the absolute form of the given IRI references). The dataset resulting from a number of FROM and FROM NAMED clauses is:

If a query provides such a dataset description, then it is used in place of any dataset that the query service would use if no dataset description is provided in a query.

9.1 Specifying the Default Graph

Each FROM clause contains an IRI that indicates the graph to be used to form the default graph. This does not put the graph in as a named graph; a query can do this by also specifying the graph in the FROM NAMED clause.

In this example, there is a single default graph:

# Default graph (stored at http://example.org/foaf/aliceFoaf)
@prefix  foaf:  <http://xmlns.com/foaf/0.1/> .

_:a  foaf:name     "Alice" .
_:a  foaf:mbox     <mailto:alice@work.example> .
PREFIX foaf: <http://xmlns.com/foaf/0.1/>
SELECT  ?name
FROM    <http://example.org/foaf/aliceFoaf>
WHERE   { ?x foaf:name ?name }
name
"Alice"

If a query provides more than one FROM clause, providing more than one IRI to indicate the default graph, then the default graph is based on the RDF merge of the graphs obtained from representations of the resources identified by the given IRIs.

9.2 Specifying Named Graphs

A query can supply IRIs for the named graphs in the RDF Dataset using the FROM NAMED clause.  Each IRI is used to provide one named graph in the RDF Dataset. Using an IRI in two or more FROM NAMED clauses results in one named graph with that IRI appearing in the dataset.

# Graph: http://example.org/bob
@prefix foaf: <http://xmlns.com/foaf/0.1/> .

_:a foaf:name "Bob" .
_:a foaf:mbox <mailto:bob@oldcorp.example.org> .
# Graph: http://example.org/alice
@prefix foaf: <http://xmlns.com/foaf/0.1/> .

_:a foaf:name "Alice" .
_:a foaf:mbox <mailto:alice@work.example> .
PREFIX foaf: <http://xmlns.com/foaf/0.1/>

SELECT ?src ?name

FROM NAMED <http://example.org/alice>
FROM NAMED <http://example.org/bob>

WHERE
{ GRAPH ?src { ?x foaf:name ?name } }
src name
<http://example.org/bob> "Bob"
<http://example.org/alice> "Alice"

The FROM NAMED syntax suggests that the IRI identifies the corresponding graph, but actually the relationship between a URI and a graph in an RDF dataset is indirect. The IRI identifies a resource, and the resource is represented by a graph (or, more precisely: by a document that serializes a graph). For further details see [WEBARCH].

9.3 Combining FROM and FROM NAMED

The FROM clause and FROM NAMED clauses can be used in the same query.

# Default graph (stored at http://example.org/dft.ttl)
@prefix dc: <http://purl.org/dc/elements/1.1/> .

<http://example.org/bob>    dc:publisher  "Bob Hacker" .
<http://example.org/alice>  dc:publisher  "Alice Hacker" .
# Named graph: http://example.org/bob
@prefix foaf: <http://xmlns.com/foaf/0.1/> .

_:a foaf:name "Bob" .
_:a foaf:mbox <mailto:bob@oldcorp.example.org> .
# Named graph: http://example.org/alice
@prefix foaf: <http://xmlns.com/foaf/0.1/> .

_:a foaf:name "Alice" .
_:a foaf:mbox <mailto:alice@work.example.org> .
PREFIX foaf: <http://xmlns.com/foaf/0.1/>
PREFIX dc: <http://purl.org/dc/elements/1.1/>

SELECT ?who ?g ?mbox
FROM <http://example.org/dft.ttl>
FROM NAMED <http://example.org/alice>
FROM NAMED <http://example.org/bob>
WHERE
{
   ?g dc:publisher ?who .
   GRAPH ?g { ?x foaf:mbox ?mbox }
}
who g mbox
"Bob Hacker" <http://example.org/bob> <mailto:bob@oldcorp.example.org>
"Alice Hacker" <http://example.org/alice> <mailto:alice@work.example.org>

This query finds the  mbox together with the information in the default graph about the publisher. <http://example.org/dft.ttl> is just the IRI used to form the default graph, not it's name.

10 Query Result Forms

SPARQL has four query result forms. These result forms use the solutions from pattern matching to form result sets or RDF graphs. The query result forms are:

SELECT
Returns all, or a subset of, the variables bound in a query pattern match.
CONSTRUCT
Returns an RDF graph constructed by substituting variables in a set of triple templates.
DESCRIBE
Returns an RDF graph that describes the resources found.
ASK
Returns a boolean indicating whether a query pattern matches or not.

The SPARQL Variable Binding Results XML Format can be used to serialize result sets from a SELECT query or the boolean result of an ASK query.

10.1 Solution Sequences and Result Forms

Query patterns generate an unordered collection of solutions, each solution being a function from variables to RDF terms. These solutions are then treated as a sequence, initially in no specific order; any sequence modifiers are then applied to create another sequence. Finally, this latter sequence is used to generate one of the SPARQL result forms.

Definition: Solution Sequence

A solution sequence S is a list of solutions.

    S = ( S0, S1, . . . , Sn)

The solution sequence from matching the query pattern is a collection formed from the solutions of the query pattern with no defined order.

Definition: Solution Sequence Modifier

A solution sequence modifier is one of:

If SM is the set of modifiers, and QS is the collection of solutions of a query, we write SM(QS) for the sequence formed by applying SM to the solution sequence formed from QS.

Definition: Result Forms

The result form of a query is one of

The elements of a sequence of solutions can be modified by:

  1. ORDER BY: put the solutions in order
  2. Projection
  3. DISTINCT: ensure solutions in the sequence are unique
  4. OFFSET: control where the solutions processed start from in the overall sequence of solutions
  5. LIMIT: restrict the number of solutions processed for query results

applied in the order given by the list.

10.1.1 ORDER BY

The ORDER BY clause takes a solution sequence and applies ordering conditions. An ordering condition can be a variable, a function call or an expression. The direction of ordering is ascending by default. It can be explicitly set to ascending or descending by enclosing the condition in ASC() or DESC() respectively. If multiple conditions are given, then they are applied in turn until one gives the indication of the ordering.

PREFIX foaf:    <http://xmlns.com/foaf/0.1/>

SELECT ?name
WHERE { ?x foaf:name ?name }
ORDER BY ?name
PREFIX     :    <http://example.org/ns#>
PREFIX foaf:    <http://xmlns.com/foaf/0.1/>
PREFIX xsd:     <http://www.w3.org/2001/XMLSchema#>

SELECT ?name
WHERE { ?x foaf:name ?name ; :empId ?emp }
ORDER BY DESC(?emp)
PREFIX foaf:    <http://xmlns.com/foaf/0.1/>

SELECT ?name
WHERE { ?x foaf:name ?name ; :empId ?emp }
ORDER BY ?name DESC(?emp)

Using ORDER BY on a solution sequence for a result form other than SELECT has no direct effect because only SELECT returns a sequence of results. In combination with LIMIT and OFFSET, it can be used to return partial results.

Definition: Ordered Solution Sequence

An ordered solution sequence is a solution sequence where the sequence is partially ordered with respect to some ordering condition.

A solution sequence S = ( S0, S1, . . . , Sn) is ordered with respect to an ordering condition C if, for Si, Sj, then i < j if C orders Si before Sj.

An ordering condition need not give a total ordering of a solution sequence.

The "<" operator (see the Operator Mapping) defines the relative order of pairs of numerics, xsd:dateTimes and xsd:strings.

IRIs are ordered by comparing the character strings making up each IRI using the "<" operator.

SPARQL also defines a fixed, arbitrary order between some kinds of RDF terms that would not otherwise be ordered. This arbitrary order is necessary to provide slicing of query solutions by use of LIMIT and OFFSET.

  1. (Lowest) no value assigned to the variable or expression in this solution.
  2. Blank nodes
  3. IRIs
  4. RDF literals
  5. A plain literal is lower than an RDF literal with type xsd:string of  the same lexical form.

If the ordering criteria do not specify the order of values, then the ordering in the solution sequence is undefined.

Ordering a sequence of solutions always results in a sequence with the same number of solutions in it, even if the ordering criteria does not differentiate between two solutions.

10.1.2 Projection

The solution sequence can be transformed into one involving only a subset of the variables. For each solution in the sequence, a new solution is formed using a specified selection of the variables.

Definition: Projection

The projection of solution QS over a set of variables VS is the solution
      project(QS, VS) = { (v, QS(v)) | v in VS }

For a solution sequence S = ( S0, Sa, . . . , Sn) and a finite set of variables VS,
    project(S, VS) = { (project(Si, VS) | i = 0, 1, . . . n }

The following example shows a query to extract just the names of people described in an RDF graph using FOAF properties.

@prefix foaf:        <http://xmlns.com/foaf/0.1/> .

_:a  foaf:name       "Alice" .
_:a  foaf:mbox       <mailto:alice@work.example> .

_:b  foaf:name       "Bob" .
_:b  foaf:mbox       <mailto:bob@work.example> .
PREFIX foaf:       <http://xmlns.com/foaf/0.1/>
SELECT ?name
WHERE
 { ?x foaf:name ?name }
name
"Bob"
"Alice"

10.1.3 DISTINCT

The solution sequence can be modified by adding the DISTINCT keyword which ensures that every combination of variable bindings (i.e. each solution) in the sequence is unique.

@prefix  foaf:  <http://xmlns.com/foaf/0.1/> .

_:a    foaf:name   "Alice" .
_:a    foaf:mbox   <mailto:alice@org> .

_:z    foaf:name   "Alice" .
_:z    foaf:mbox   <mailto:smith@work> .
PREFIX foaf:    <http://xmlns.com/foaf/0.1/>
SELECT DISTINCT ?name WHERE { ?x foaf:name ?name }
name
"Alice"

If DISTINCT and LIMIT or OFFSET are specified, then duplicates are eliminated before the limit or offset is applied.

Definition: Distinct Solution Sequence

A Distinct Solution Sequence is a solution sequence in which no two solutions are the same.

10.1.4 OFFSET

OFFSET causes the solutions generated to start after the specified number of solutions. An OFFSET of zero has no effect.

The order in which solutions are returned is initially undefined. Using LIMIT and OFFSET to select different subsets of the query solutions will not be useful unless the order is made predictable by using ORDER BY.

PREFIX foaf:    <http://xmlns.com/foaf/0.1/>

SELECT  ?name
WHERE   { ?x foaf:name ?name }
ORDER BY ?name
LIMIT   5
OFFSET  10
Definition: Offset Solution Sequence

An Offset Solution Sequence with respect to another solution sequence S, is one which starts at a given index of S.

For solution sequence S = (S0, S1, . . . , Sn), the offset solution sequence
offset(S, k), k >= 0  is
     (Sk, Sk+1, . . ., Sn) if n >= k
     (), the empty sequence, if k > n

10.1.5 LIMIT

The LIMIT form puts an upper bound on the number of solutions returned. If the number of actual solutions is greater than the limit, then at most the limit number of solutions will be returned.

PREFIX foaf:    <http://xmlns.com/foaf/0.1/>

SELECT ?name
WHERE { ?x foaf:name ?name }
LIMIT 20

A limit of 0 would cause no results to be returned. A limit may not be negative.

Definition: Limited Solution Sequence

A Limited Solution Sequence has at most a given, fixed number of members.

The limit of solution sequence S = (S0, S1, . . . , Sn) is

limit(S, m) =
        (S0, S1, . . . , Sm-1) if n > m
        (S0, S1, . . . , Sn)  if n <= m-1

10.2 Selecting Variables

The SELECT form of results returns the variables directly. The syntax SELECT * is an abbreviation that selects all of the variables.

@prefix  foaf:  <http://xmlns.com/foaf/0.1/> .

_:a    foaf:name   "Alice" .
_:a    foaf:knows  _:b .
_:a    foaf:knows  _:c .

_:b    foaf:name   "Bob" .

_:c    foaf:name   "Clare" .
_:c    foaf:nick   "CT" .

PREFIX foaf:    <http://xmlns.com/foaf/0.1/>
SELECT ?nameX ?nameY ?nickY
WHERE
  { ?x foaf:knows ?y ;
       foaf:name ?nameX .
    ?y foaf:name ?nameY .
    OPTIONAL { ?y foaf:nick ?nickY }
  }
nameX nameY nickY
"Alice" "Bob"
"Alice" "Clare" "CT"

Results can be thought of as a table or result set, with one row per query solution. Some cells may be empty because a variable is not bound in that particular solution.

Result sets can be accessed by the local API but also can be serialized into either XML or an RDF graph. An XML format is described in SPARQL Query Results XML Format, and this gives:

<?xml version="1.0"?>
<sparql xmlns="http://www.w3.org/2005/sparql-results#">
  <head>
    <variable name="nameX"/>
    <variable name="nameY"/>
    <variable name="nickY"/>
  </head>
  <results>
    <result>
      <binding name="nameX">
        <literal>Alice</literal>
      </binding>
      <binding name="nameY">
        <literal>Bob</literal>
      </binding>
   </result>
    <result>
      <binding name="nameX">
        <literal>Alice</literal>
      </binding>
      <binding name="nameY">
        <literal>Clare</literal>
      </binding>
      <binding name="nickY">
        <literal>CT</literal>
      </binding>
    </result>
  </results>
</sparql>

Definition: SELECT

Given Q = (GP, DS, SM, SELECT VS) where

then, if QS is the set of solutions formed by matching dataset DS with graph pattern GP, the SELECT result is project(SM(QS), VS)

10.3 Constructing an Output Graph

The CONSTRUCT result form returns a single RDF graph specified by a graph template. The result is an RDF graph formed by taking each query solution in the solution sequence, substituting for the variables into the graph template and combining the triples into a single RDF graph by set union.

If any such instantiation produces a triple containing an unbound variable, or an illegal RDF construct (such as a literal in subject or predicate position), then that triple is not included in the output RDF graph. The graph template can contain ground or explicit triples, that is, triples with no variables, and these also appear in the output RDF graph returned by the CONSTRUCT query form.

@prefix  foaf:  <http://xmlns.com/foaf/0.1/> .

_:a    foaf:name   "Alice" .
_:a    foaf:mbox   <mailto:alice@example.org> .
PREFIX foaf:    <http://xmlns.com/foaf/0.1/>
PREFIX vcard:   <http://www.w3.org/2001/vcard-rdf/3.0#>
CONSTRUCT   { <http://example.org/person#Alice> vcard:FN ?name }
WHERE       { ?x foaf:name ?name }

creates vcard properties from the FOAF information:

@prefix vcard: <http://www.w3.org/2001/vcard-rdf/3.0#> .

<http://example.org/person#Alice&g