SPARQL
E29603
SPARQL is a semantic query language and protocol used to retrieve and manipulate data stored in Resource Description Framework (RDF) format on the Semantic Web.
All labels observed (9)
| Label | Occurrences |
|---|---|
| SPARQL canonical | 13 |
| SPARQL Protocol and RDF Query Language | 4 |
| SPARQL 1.0 | 2 |
| Contextual Query Language | 1 |
| SPARQL 1.1 | 1 |
| SPARQL protocol | 1 |
| SPARQL query language | 1 |
| W3C SPARQL | 1 |
| W3C SPARQL 1.1 | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T230897 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
Target entity: SPARQL Context triple: [OWL, relatedStandard, SPARQL]
-
A.
OWL
OWL (Web Ontology Language) is a W3C-recommended semantic web language used to define and share rich, machine-interpretable ontologies on the web.
-
B.
XQuery
XQuery is a functional query and programming language designed for extracting and manipulating data from XML documents and related data sources.
-
C.
SQL
SQL (Structured Query Language) is a standardized programming language used to manage, query, and manipulate data in relational database management systems.
-
D.
Z39.50
Z39.50 is a client-server protocol used primarily by libraries and information services to search and retrieve bibliographic and related data from remote databases in a standardized way.
-
E.
Tableau
Tableau is a widely used data visualization and business intelligence software platform that enables users to analyze, explore, and present data through interactive dashboards and reports.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: SPARQL Target entity description: SPARQL is a semantic query language and protocol used to retrieve and manipulate data stored in Resource Description Framework (RDF) format on the Semantic Web.
-
A.
OWL
OWL (Web Ontology Language) is a W3C-recommended semantic web language used to define and share rich, machine-interpretable ontologies on the web.
-
B.
XQuery
XQuery is a functional query and programming language designed for extracting and manipulating data from XML documents and related data sources.
-
C.
SQL
SQL (Structured Query Language) is a standardized programming language used to manage, query, and manipulate data in relational database management systems.
-
D.
Z39.50
Z39.50 is a client-server protocol used primarily by libraries and information services to search and retrieve bibliographic and related data from remote databases in a standardized way.
-
E.
Tableau
Tableau is a widely used data visualization and business intelligence software platform that enables users to analyze, explore, and present data through interactive dashboards and reports.
- F. None of above. chosen
Statements (74)
| Predicate | Object |
|---|---|
| instanceOf |
RDF query language
ⓘ
SPARQL version ⓘ SPARQL version ⓘ W3C standard ⓘ query language ⓘ semantic query language ⓘ |
| acronymFor |
SPARQL
self-linksurface differs
ⓘ
surface form:
SPARQL Protocol and RDF Query Language
|
| addsFeature |
aggregates
ⓘ
federated query ⓘ subqueries ⓘ update operations ⓘ |
| category |
Semantic Web
ⓘ
surface form:
Semantic Web technology
data access protocol ⓘ |
| designedFor |
RDF data
ⓘ
RDF ⓘ
surface form:
Resource Description Framework
|
| developer | World Wide Web Consortium ⓘ |
| domain |
Linked Data
ⓘ
Semantic Web ⓘ |
| extends |
SPARQL
self-linksurface differs
ⓘ
surface form:
SPARQL 1.0
|
| fullName |
SPARQL
self-linksurface differs
ⓘ
surface form:
SPARQL Protocol and RDF Query Language
|
| hasComponent |
SPARQL
self-linksurface differs
ⓘ
surface form:
SPARQL protocol
SPARQL self-linksurface differs ⓘ
surface form:
SPARQL query language
SPARQL results formats ⓘ |
| hasFeature |
namespace support
ⓘ
ordering and limiting results ⓘ pattern matching over triples ⓘ prefix declarations ⓘ variable binding ⓘ |
| hasResultFormat |
CSV
ⓘ
JSON ⓘ TSV ⓘ XML ⓘ |
| influencedBy | SQL ⓘ |
| operatesOn |
RDF graphs
ⓘ
triple stores ⓘ |
| protocolBinding |
HTTP
ⓘ
SOAP ⓘ |
| queryForm |
ASK
ⓘ
CONSTRUCT ⓘ DESCRIBE ⓘ SELECT ⓘ |
| relatedStandard |
HTTP
ⓘ
OWL ⓘ RDF ⓘ RDFS ⓘ |
| standardizedBy |
World Wide Web Consortium
ⓘ
World Wide Web Consortium ⓘ World Wide Web Consortium ⓘ |
| supports |
aggregates
ⓘ
boolean queries ⓘ constructing RDF graphs ⓘ data manipulation ⓘ data retrieval ⓘ federated queries ⓘ filter expressions ⓘ graph pattern matching ⓘ graph updates ⓘ named graphs ⓘ optional graph patterns ⓘ subqueries ⓘ |
| syntaxStyle | SQL-like ⓘ |
| updateForm |
CLEAR
ⓘ
CREATE ⓘ DELETE ⓘ DROP ⓘ INSERT ⓘ LOAD ⓘ |
| usedFor |
integrating heterogeneous data sources
ⓘ
querying knowledge graphs ⓘ querying ontologies ⓘ |
| usedWith |
RDF triple store
ⓘ
graph database ⓘ |
| version |
SPARQL
self-linksurface differs
ⓘ
surface form:
SPARQL 1.0
SPARQL self-linksurface differs ⓘ
surface form:
SPARQL 1.1
|
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Subject: SPARQL Description of subject: SPARQL is a semantic query language and protocol used to retrieve and manipulate data stored in Resource Description Framework (RDF) format on the Semantic Web.
Referenced by (25)
Full triples — surface form annotated when it differs from this entity's canonical label.