R2RML
E641814
R2RML is a W3C standard language for expressing customized mappings from relational databases to RDF datasets in ontology-based data access systems.
All labels observed (1)
| Label | Occurrences |
|---|---|
| R2RML canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7115514 — 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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: R2RML Context triple: [OBDA systems, useMappingLanguage, R2RML]
-
A.
RDF
RDF (Resource Description Framework) is a standard model for data interchange on the Web that represents information as subject–predicate–object triples to enable structured, machine-readable metadata and knowledge graphs.
-
B.
RDF 1.1 Semantics
RDF 1.1 Semantics is a W3C specification that formally defines the meaning and logical foundations of RDF data, enabling consistent interpretation and reasoning across RDF graphs.
-
C.
RDF 1.1 Concepts and Abstract Syntax
RDF 1.1 Concepts and Abstract Syntax is a W3C specification that defines the core data model, terminology, and abstract syntax for the Resource Description Framework (RDF).
-
D.
RDFS
RDFS (RDF Schema) is a semantic web vocabulary language used to define the structure, classes, and properties of RDF data.
-
E.
OWL 2 RL
OWL 2 RL is a profile of the Web Ontology Language designed for scalable reasoning using rule-based systems, enabling efficient inference over large datasets.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: R2RML Target entity description: R2RML is a W3C standard language for expressing customized mappings from relational databases to RDF datasets in ontology-based data access systems.
-
A.
RDF
RDF (Resource Description Framework) is a standard model for data interchange on the Web that represents information as subject–predicate–object triples to enable structured, machine-readable metadata and knowledge graphs.
-
B.
RDF 1.1 Semantics
RDF 1.1 Semantics is a W3C specification that formally defines the meaning and logical foundations of RDF data, enabling consistent interpretation and reasoning across RDF graphs.
-
C.
RDF 1.1 Concepts and Abstract Syntax
RDF 1.1 Concepts and Abstract Syntax is a W3C specification that defines the core data model, terminology, and abstract syntax for the Resource Description Framework (RDF).
-
D.
RDFS
RDFS (RDF Schema) is a semantic web vocabulary language used to define the structure, classes, and properties of RDF data.
-
E.
OWL 2 RL
OWL 2 RL is a profile of the Web Ontology Language designed for scalable reasoning using rule-based systems, enabling efficient inference over large datasets.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
RDF mapping language
ⓘ
W3C standard ⓘ mapping language ⓘ |
| acronymFor | RDB to RDF Mapping Language NERFINISHED ⓘ |
| compatibleWith | SQL relational databases ⓘ |
| definesConcept |
graph map
ⓘ
join condition ⓘ logical table ⓘ object map ⓘ predicate map ⓘ referencing object map ⓘ subject map ⓘ term map ⓘ triples map ⓘ |
| editorialNote | Defined by the W3C RDB2RDF Working Group as a Recommendation in 2012 ⓘ |
| expressedIn | RDF NERFINISHED ⓘ |
| fullName | RDB to RDF Mapping Language NERFINISHED ⓘ |
| goal |
bridge relational data and RDF
ⓘ
enable declarative mappings from RDB to RDF ⓘ |
| hasSpecificationStatus | W3C Recommendation NERFINISHED ⓘ |
| hasUseIn |
enterprise data integration platforms
ⓘ
knowledge graph generation tools ⓘ ontology-based data access systems ⓘ |
| mapsFrom | relational databases ⓘ |
| mapsTo | RDF datasets ⓘ |
| namespaceIRI | http://www.w3.org/ns/r2rml# ⓘ |
| primaryDomain |
Linked Data
NERFINISHED
ⓘ
Semantic Web NERFINISHED ⓘ |
| publicationYear | 2012 ⓘ |
| relatedStandard |
Direct Mapping of Relational Data to RDF
NERFINISHED
ⓘ
OWL NERFINISHED ⓘ RDF NERFINISHED ⓘ SPARQL NERFINISHED ⓘ |
| relatedWorkingGroup | W3C RDB2RDF Working Group NERFINISHED ⓘ |
| serializationFormat | Turtle ⓘ |
| standardizedBy |
W3C
NERFINISHED
ⓘ
World Wide Web Consortium NERFINISHED ⓘ |
| supportsFeature |
IRI generation from database values
ⓘ
blank node generation ⓘ customized mappings ⓘ datatype assignment ⓘ graph selection ⓘ joins between tables ⓘ language tag assignment ⓘ literal generation from database values ⓘ |
| supportsUseCase |
data integration
ⓘ
knowledge graph construction ⓘ ontology-based data access ⓘ publishing relational data as Linked Data ⓘ |
| usesIRI | rr: ⓘ |
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.
Instruction
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.
Input
Subject: R2RML Description of subject: R2RML is a W3C standard language for expressing customized mappings from relational databases to RDF datasets in ontology-based data access systems.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.