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Dictionary termTrack BStablev2026.2

SPARQL endpoint

An HTTP endpoint that accepts SPARQL queries (the W3C-standard query language for RDF) against an RDF dataset and returns results in standard formats (XML, JSON, CSV, TSV), implementing the SPARQL 1.1 Protocol.

ByCASRAI Editorial Board
· Last updated 22 Aug 2026
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Examples

Worked examples

  • Is an instance

    The Wikidata Query Service at query.wikidata.org.

  • Is an instance

    A VIVO SPARQL endpoint exposing institutional researcher and publication graph data.

Editorial commentary

A SPARQL endpoint is the standard query interface for an RDF triple store, implementing the W3C’s SPARQL 1.1 Protocol: a client posts a SPARQL query over HTTP and receives results as XML, JSON, CSV, or TSV. Common triple-store implementations exposing SPARQL endpoints include Apache Jena Fuseki, Virtuoso, Blazegraph, Stardog, GraphDB, and Oxigraph.

Why a CRIS or repository manager encounters this term

SPARQL matters in research-information contexts because it lets a client ask one graph-shaped question that would otherwise require several chained calls against a conventional REST API — for example, ‘which Persons affiliated with this OrgUnit are named as PI on a Project funded by this Funder, with Publications since 2020’ is a single SPARQL query against a correctly modelled graph, but would need multiple round trips through separate Person, Project, and Publication endpoints on a REST-only system. VIVO, the semantic-web-native researcher-profile and CRIS platform, exposes a SPARQL endpoint over its Person/Publication/Grant graph as a core feature; the Wikidata Query Service and various OpenCitations and institutional knowledge-graph deployments use the same interface pattern for scholarly-graph queries.

A known limitation

SPARQL endpoint scalability is a recurring operational concern — an unrestricted public endpoint can be driven to timeout or exhaustion by a single expensive query — which is why intermediate solutions such as Triple Pattern Fragments and Linked Data Fragments exist: they trade full SPARQL expressiveness for a lighter-weight, more cacheable server-side interface.

Scope note: choosing, configuring, and securing a triple store and its SPARQL endpoint is a data-engineering task; this entry covers what the endpoint is for and where a CRIS/repository practitioner is likely to run into one, not how to operate one.

References

  • W3C, ‘SPARQL 1.1 Protocol’ (w3.org/TR/sparql11-protocol).

Also known as

SPARQL service

Machine-readable encodings

Use in your systems

JATS XML <role> element
xml
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      vocab-term="SPARQL endpoint"
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Schema.org DefinedTerm (JSON-LD)
json
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  "datePublished": "2026-05-21T02:16:42",
  "dateModified": "2026-08-22T16:17:03",
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