OWL 2 RL
E168626
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.
All labels observed (4)
| Label | Occurrences |
|---|---|
| OWL 2 RL canonical | 7 |
| OWL 2 Profiles | 1 |
| OWL 2 Profiles specification | 1 |
| OWL 2 RL profile | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1422236 — 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: OWL 2 RL Context triple: [OWL Full, contrastsWith, OWL 2 RL]
-
A.
OWL 2 EL
OWL 2 EL is a lightweight profile of the Web Ontology Language designed for efficient reasoning over large-scale ontologies, particularly in domains like biomedical terminologies.
-
B.
OWL 2 QL
OWL 2 QL is a lightweight profile of the Web Ontology Language designed to enable efficient query answering over large datasets using standard relational database technologies.
-
C.
OWL 2 recommendation
The OWL 2 recommendation is a W3C standard that extends the Web Ontology Language with a family of profiles and features for more expressive, interoperable semantic web ontologies.
-
D.
OWL DL
OWL DL is a sublanguage of the Web Ontology Language that balances expressive power with computational decidability by adhering closely to description logic foundations.
-
E.
OWL
OWL (Web Ontology Language) is a W3C-recommended semantic web language used to define and share rich, machine-interpretable ontologies on the web.
- 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: OWL 2 RL Target entity description: 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.
-
A.
OWL 2 EL
OWL 2 EL is a lightweight profile of the Web Ontology Language designed for efficient reasoning over large-scale ontologies, particularly in domains like biomedical terminologies.
-
B.
OWL 2 QL
OWL 2 QL is a lightweight profile of the Web Ontology Language designed to enable efficient query answering over large datasets using standard relational database technologies.
-
C.
OWL 2 recommendation
The OWL 2 recommendation is a W3C standard that extends the Web Ontology Language with a family of profiles and features for more expressive, interoperable semantic web ontologies.
-
D.
OWL DL
OWL DL is a sublanguage of the Web Ontology Language that balances expressive power with computational decidability by adhering closely to description logic foundations.
-
E.
OWL
OWL (Web Ontology Language) is a W3C-recommended semantic web language used to define and share rich, machine-interpretable ontologies on the web.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
OWL 2 profile
ⓘ
ontology language profile ⓘ |
| aimsTo | balance expressivity and performance ⓘ |
| basedOn |
Web Ontology Language
ⓘ
linked to:
OWL
|
| compatibleWith |
backward-chaining reasoners
ⓘ
forward-chaining reasoners ⓘ production rule systems ⓘ rule-based reasoning engines ⓘ |
| contrastedWith |
OWL 2 DL
ⓘ
OWL 2 EL ⓘ OWL 2 QL ⓘ |
| definedIn |
OWL 2 Profiles specification
ⓘ
linked to:
OWL 2 RL
|
| designedFor |
efficient inference over large datasets
ⓘ
rule-based reasoning systems ⓘ scalable reasoning ⓘ |
| enables | forward-chaining materialization of inferences ⓘ |
| hasAbbreviation | RL ⓘ |
| hasComputationalProperty |
PTIME data complexity
ⓘ
tractable reasoning ⓘ |
| hasDesignGoal |
implementability via rule engines
ⓘ
polynomial-time reasoning ⓘ support for large RDF graphs ⓘ |
| hasFormalization | set of entailment rules ⓘ |
| hasProfileType | rule-based profile ⓘ |
| hasSemanticsCompatibleWith | RDF-based semantics of OWL 2 ⓘ |
| hasSubsetOf | OWL 2 DL constructs ⓘ |
| hasTargetEnvironment |
logic programming systems
ⓘ
relational database systems ⓘ rule engines ⓘ |
| hasTradeoff | reduced expressivity for better scalability ⓘ |
| hasUseCase |
data integration
ⓘ
large-scale knowledge bases ⓘ linked data reasoning ⓘ semantic web applications ⓘ |
| introducedIn |
OWL 2 specification
ⓘ
linked to:
OWL 2 Web Ontology Language
|
| optimizedFor |
RDF triple stores
ⓘ
database-style implementations ⓘ materialization-based reasoning ⓘ |
| partOf |
OWL 2
ⓘ
linked to:
OWL 2 Web Ontology Language
|
| publishedBy | World Wide Web Consortium ⓘ |
| restricts |
OWL 2 constructors
ⓘ
use of cardinality constraints ⓘ use of complex class expressions ⓘ use of existential quantification ⓘ |
| standardizedBy |
W3C
ⓘ
linked to:
World Wide Web Consortium
|
| supports |
RDFS-like reasoning plus selected OWL features
ⓘ
rule-based implementation via Datalog-like rules ⓘ |
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: OWL 2 RL Description of subject: 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.
Referenced by (10)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: OWL 2 RL
linked to: OWL 2 RL