W3C

SPARQL Query Language for RDF

W3C Working Draft 23 November 2005

This version:
http://www.w3.org/TR/2005/WD-rdf-sparql-query-20051123/
Previous version:
http://www.w3.org/TR/2005/WD-rdf-sparql-query-20050721/
Latest version:
http://www.w3.org/TR/rdf-sparql-query/
Editors:
Eric Prud'hommeaux, W3C <eric@w3.org>
Andy Seaborne, Hewlett-Packard Laboratories, Bristol <andy.seaborne@hp.com>

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 the fifth Public Working Draft of the Data Access SPARQL Query Language by the RDF Data Access Working Group (part of the Semantic Web Activity) for review by W3C Members and other interested parties.

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. It shows which comments are open (unaddressed), pending (addressed but not confirmed) and closed (addressed and confirmed).

For at least part of each of the following comments, this draft has a proposal that the WG is considering:

  1. SPARQL: W3C QA Guidelines conformance
  2. SPARQL: language tag issues
  3. SPARQL: Error handling
  4. SPARQL: isURI poorly named
  5. SPARQL: format based on Unicode?
  6. Example Errors
  7. Comments on SPARQL from the XML Query and the XSL WGs
  8. Namespaces
  9. Comments on last-call SPARQL draft 20050721, sections 3 onwards

5 comments are connected to an open WG issue, rdfSemantics, that is not addressed in this draft:

  1. 2005-09-01T17:12:32Z from Art.Barstow
  2. 2005-09-08T01:26:59Z from pfps
  3. 2005-09-18T15:02:48Z from pfps, 2005-09-23T14:34:50Z from pfps
  4. 2005-09-09T20:39:31Z from horrocks via connolly
  5. 2005-10-28T11:45:37Z from herman.ter.horst
  6. 2005-09-01T11:27:51Z from GK

Comments since about 1 Nov have not yet been addressed. They include:

  1. SPARQL Comments (Personal)
  2. sparql describe - options?!
  3. CONSTRUCT: allow *?

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.

Editorial notes in "issue" style highlight issues or outstanding dissent. "todo" style indicates an area where the editors will provide more text. See the working group issues document for issues outside of this document. Please send comments to public-rdf-dawg-comments@w3.org, a mailing list with a public archive.

This section describes the status of this document at the time of its publication. Other documents may supersede this document. A list of current W3C publications and the latest revision of this technical report can be found in the W3C technical reports index at http://www.w3.org/TR/.

Publication as a Working Draft does not imply endorsement by the W3C Membership. This is a draft document and may be updated, replaced or obsoleted by other documents at any time. It is inappropriate to cite this document as other than work in progress.

This document was produced under the 5 February 2004 W3C Patent Policy. The Working Group maintains a public list of patent disclosures relevant to this document; that page also includes instructions for disclosing [and excluding] a patent. An individual who has actual knowledge of a patent which the individual believes contains Essential Claim(s) with respect to this specification should disclose the information in accordance with section 6 of the W3C Patent Policy.

Per section 4 of the W3C Patent Policy, Working Group participants have 150 days from the title page date of this document to exclude essential claims from the W3C RF licensing requirements with respect to this document series. Exclusions are with respect to the exclusion reference document, defined by the W3C Patent Policy to be the latest version of a document in this series that is published no later than 90 days after the title page date of this document.


Table of Contents

Appendices


1 Introduction

An RDF graph is a set of triples; each triple consists of a subject, a predicate and an object. This is 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. They may be the RDF expression of data stored in other formats, such as XML or relational databases.

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#

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 in any of the subject, predicate or object positions. Combining these 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.

In this section, we cover simple triple patterns, basic graph patterns as well as the SPARQL syntax for basic pattern queries.

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 of IRI Terms

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.

SPARQL provides a two abbreviation mechanisms for IRIs, namespace prefixes and relative IRIs.

The PREFIX keyword binds a prefix to a namespace IRI [NAMESPACE]. A prefix binding applies to any QNames in the query with that prefix; a prefix may be defined only once. A QName is mapped to an IRI by appending the local name to the namespace IRI corresponding to the prefix.

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 a 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.

2.1.2 Syntax of Literal Terms

The query terms can be literals which are 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 qname (introduced by ^^). As a convenience, integers can be written directly and are interpreted as typed literals of datatype xsd:integer; decimal numbers are interpreted as xsd:decimal and a numer 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 of Variables

Variables in SPARQL queries have global scope; it is the same variable everywhere in the query that the same name is used. Variables are indicated by "?"; the "?" does not form part of the variable. "$" is an alternative to "?". In a query, $abc and ?abc are the same variable.

2.1.4 Syntax of Triple Patterns

Triple Patterns are written as a list of subject, predicate, object; there are abbreviated ways of writing some common triple pattern constructs. Triple Patterns are grouped together with {}(braces).

2.1.5 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 for 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 }

2.1.6 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" .

2.1.7 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 "Bob", we show this as:

x y
"Alice" "Bob"

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 Variable Binding Results XML Format [RESULTS].

2.2 Initial Definitions

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.

Note that all IRIs are absolute; they may or may not include a fragment identifier [RFC3987, section 3.1]. Also note that IRIs include URIs [RFC3986] and URLs.

Definition: Query Variable

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

Queries can include blank nodes; the blank nodes in a query are disjoint from all blank nodes in the RDF graphs being matched and members of the set of variables.

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 of dc:title and an object variable (the variable title).

 ?book dc:title ?title .

Matching a triple pattern to a graph gives bindings between variables and RDF Terms so that the triple pattern, with the variables replaced by the corresponding RDF terms, is a triple of the graph being matched.

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

Let W = V union RDF-B, the set of all variables and blank nodes.

A pattern solution is a substitution function from a subset of W to the set of RDF terms, RDF-T.

The result of replacing every member v of W 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.

Definition: Query Solution

Given query Q = (GP, DS, SM, R) then S is a query solution of Q if S is a pattern solution for GP matching dataset DS.

How exactly a particular graph pattern matches a dataset is described for each kind of graph pattern in the sections below.

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

Definition: Basic Graph Pattern

A Basic Graph Pattern is a set of Triple Patterns.

A basic graph pattern matches on graph G with solution S if S(GP) is an RDF graph and is subgraph of G.

The SPARQL syntax uses the keyword WHERE to introduce the Query Pattern.

For a basic graph pattern to match some dataset, there must be a solution where each of the triple patterns matches the dataset with that solution.

Data:

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

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

This query contains a basic graph pattern of two triple patterns, each of which must match for the graph pattern to match.

2.6 Multiple Matches

The results of a query are 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 simple, conjunctive graph pattern match, and all the variables used in the query pattern must be bound in every solution.

2.7 Blank Nodes

2.7.1 Blank Nodes and Queries

A blank node can appear in a query pattern. A blank node in a query pattern may match any RDF term.

2.7.2 Blank Nodes and Query Results

The presence of blank nodes can be indicated by labels in the serialization of query results. An application or client receiving the results of a query can tell that two solutions or two variable bindings differ in blank nodes but this information is only scoped to the results as defined in "SPARQL Variable Binding 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 is no relation between using _:a in the results and any 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_" .

2.8.3 Blank Nodes

Blank nodes have labels which are scoped to the query. 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  <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  <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) then 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) :p "w" .

is a short form for:

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

2.8.5 Other

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.

  ?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 reification vocabulary which provides for describing RDF statements without stating them. These descriptions of statements can be queried be 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:

The form 1.3 as xsd:decimal is a change previosuly, it would have been an xsd:double.  The change is "in progress" to coordinate with other RDF syntaxes (N3, Turtle). If you have comments on this change, please send email to the working group comment list.

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 }

3.1.4 Matching with RDF D-Entailment

RDF defines D-Entailment. 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.

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 query 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. RDF semantics does not require this of all RDF graphs. When matching a SPARQL query pattern against an RDF graph, there may be additional matches because of D-Entailment depending on the graph queried.

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. A Basic Graph Pattern is a group of triple patterns. For example, this query has a group pattern of one basic graph pattern as the query pattern.

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

Because a solution to a group graph pattern is a solution to each element of the group, and a solution of a basic graph pattern is a solution to each triple pattern, these queries also have the same solutions as:

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

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

4.2 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 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. RDF is semi-structured: a regular, complete structure can not be assumed 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, variables can be left unbound.

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 add to the query solution.

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@example.com>

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 any solutions 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. Any non-optional part of the outer optional graph pattern must be matched if any solution is given involving matching the nested optional pattern are returned.

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 reaches these if there is a vcard:N predicate. 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" .

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

_: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, comprising 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.

A graph pattern P, where P is not an RDF Dataset Graph Pattern, matches an RDF dataset DS with solution S if P matches G (the default graph of DS) with solution S.

In the previous sections, all queries have been shown executed against a single, default graph. A query does not need to involve the default graph; the query can just involve matching named 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 <ui> and S is a pattern solution of P on {Gi, (<u1>, G1), ...}

 

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.

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:>

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 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

The FROM clause contains an IRI that indicates the graph to be used to form the default graph. This does not automatically 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.

# 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 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 = ( S1, S2, . . . , Sn)

The solution sequence from matching the query pattern is an unordered collection formed from the solutions of the query pattern.

Definition: Solution Sequence Modifier

A solution sequence modifier is one of:

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

applied in the order given by the list.

10.1.1 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 = ( S1, S2, . . . , Sn) and a finite set of variables VS,
    project(S, VS) = { (project(Si, VS) | i = 1,2, . . . 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"

10.1.2 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 has no two solutions the same.

For a solution sequence S = ( S1, S2, . . . , Sn), then write set(S) for the set of solution sequences in S.

    distinct(S) = (Si | Si != Sj for all i != j) and set(distinct(S)) = set(S)

10.1.3 ORDER BY

The ORDER BY clause takes a solution sequence and applies ordering conditions. An ordering condition can be a variable or a function call. 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

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

A solution sequence S = ( S1, S2, . . . , 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 Table) defines the relative order of pairs of numerics, xsd:dateTimes and xsd:strings. SPARQL 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 before an RDF literal with type xsd:string of  the same lexical form.

IRIs are ordered by comparing the character strings making up each IRI.

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.

10.1.4 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 = (S1, S2, . . . , Sn) is

limit(S,m) =
        (S1, S2, . . . , Sm) if n > m
        (S1, S2, . . . , Sn) if n <= m

10.1.5 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 = (S1, S2, . . . , Sn), the offset solution sequence
offset(S, k), k >= 0  is
     (Sk, Sk+1, . . ., Sn) if n >= k
     (), the empty sequence, if k > n

10.2 Selecting Variables

The SELECT form of results returns the variables directly. The syntax SELECT * is an abbreviation that selects all of the named 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>
      <binding name="nickY">
        <unbound/>
      </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 RDF graph, and a warning may be generated. The graph template may contain ground or explicit triples, that is, triples with no variables, and these also appear in the 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> vcard:FN "Alice" .

10.3.1 Templates with Blank Nodes

A template can create an RDF graph containing blank nodes. The blank node labels are scoped to the template for each solution. If the same label occurs twice in a template, then there will be one blank node created for each query solution but there will be different blank nodes across triples generated by different query solutions.

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

_:a    foaf:givenname   "Alice" .
_:a    foaf:family_name "Hacker" .

_:b    foaf:firstname   "Bob" .
_:b    foaf:surname     "Hacker" .
PREFIX foaf:    <http://xmlns.com/foaf/0.1/>
PREFIX vcard:   <http://www.w3.org/2001/vcard-rdf/3.0#>

CONSTRUCT { ?x  vcard:N _:v .
            _:v vcard:givenName ?gname .
            _:v vcard:familyName ?fname }
WHERE
 {
    { ?x foaf:firstname ?gname } UNION  { ?x foaf:givenname   ?gname } .
    { ?x foaf:surname   ?fname } UNION  { ?x foaf:family_name ?fname } .
 }  
creates vcard properties corresponding to the FOAF information:
@prefix vcard: <http://www.w3.org/2001/vcard-rdf/3.0#> .

_:v1 vcard:N         _:x .
_:x vcard:givenName  "Alice" .
_:x vcard:familyName "Hacker" .

_:v2 vcard:N         _:z .
_:z vcard:givenName  "Bob" .
_:z vcard:familyName "Hacker" .

The use of variable ?x in the template, which in this example will be bound to blank nodes (which have labels _:a and _:b in the data) causes different blank node labels (_:v1 and _:v2) as shown by the results.

10.3.2 Accessing Graphs in the RDF Dataset

Using CONSTRUCT