OWL 2 DL
E657899
OWL 2 DL is a highly expressive yet decidable description logic–based profile of the OWL 2 Web Ontology Language, designed to balance rich modeling capabilities with computational completeness and decidability.
All labels observed (1)
| Label | Occurrences |
|---|---|
| OWL 2 DL canonical | 5 |
How this entity was disambiguated
This entity first appeared as the object of triple T7196446 — 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 DL Context triple: [OWL 2 RL, contrastedWith, OWL 2 DL]
-
A.
OWL 2 Full
OWL 2 Full is a highly expressive semantic web ontology language variant that fully integrates OWL with RDF, allowing powerful but undecidable reasoning over web data.
-
B.
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.
-
C.
OWL 2 Web Ontology Language
OWL 2 Web Ontology Language is a W3C-standardized knowledge representation language used to create, share, and reason over rich ontologies on the Semantic Web.
-
D.
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.
-
E.
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.
- 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 DL Target entity description: OWL 2 DL is a highly expressive yet decidable description logic–based profile of the OWL 2 Web Ontology Language, designed to balance rich modeling capabilities with computational completeness and decidability.
-
A.
OWL 2 Full
OWL 2 Full is a highly expressive semantic web ontology language variant that fully integrates OWL with RDF, allowing powerful but undecidable reasoning over web data.
-
B.
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.
-
C.
OWL 2 Web Ontology Language
OWL 2 Web Ontology Language is a W3C-standardized knowledge representation language used to create, share, and reason over rich ontologies on the Semantic Web.
-
D.
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.
-
E.
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.
- F. None of above. chosen
Statements (55)
| Predicate | Object |
|---|---|
| instanceOf |
Description logic
ⓘ
Ontology language profile ⓘ Profile of OWL 2 ⓘ |
| basedOn |
Description logic
ⓘ
linked to:
Description Logic
|
| conformsTo | Model-theoretic semantics of OWL 2 ⓘ |
| designedFor |
Knowledge representation
ⓘ
Semantic Web ontologies ⓘ |
| hasAlternativeProfile |
OWL 2 EL
ⓘ
OWL 2 QL ⓘ OWL 2 RL ⓘ |
| hasComplexity | N2EXPTIME-complete for standard reasoning tasks ⓘ |
| hasConstraint |
Forbids arbitrary metamodeling
ⓘ
Forbids punning between classes and individuals ⓘ Requires regularity of role hierarchies ⓘ Requires separation of object and data domains ⓘ Requires separation of object, data, and annotation properties ⓘ Restricts role composition to regular role hierarchies ⓘ Restricts use of transitive properties in cardinality constraints ⓘ |
| hasProperty |
Computationally complete
ⓘ
Decidable ⓘ Highly expressive ⓘ Supports automated reasoning ⓘ Supports rich modeling ⓘ |
| hasSemantics |
Direct semantics of OWL 2
ⓘ
RDF-based semantics of OWL 2 ⓘ |
| hasTypicalReasoningTask |
Class satisfiability checking
ⓘ
Classification ⓘ Instance checking ⓘ Ontology consistency checking ⓘ Realization ⓘ Subsumption checking ⓘ |
| hasUseCase |
Biomedical ontologies
ⓘ
Configuration and product modeling ⓘ Enterprise knowledge graphs ⓘ Semantic data integration ⓘ |
| isProfileOf |
OWL 2
ⓘ
linked to:
OWL 2 Web Ontology Language
|
| isStandardizedBy |
W3C
ⓘ
linked to:
World Wide Web Consortium
|
| partOf | OWL 2 Web Ontology Language ⓘ |
| specifiedIn |
OWL 2 Web Ontology Language Direct Semantics
ⓘ
linked to:
OWL 2 Web Ontology Language
OWL 2 Web Ontology Language Document Overview ⓘ
linked to:
OWL 2 Web Ontology Language
OWL 2 Web Ontology Language Structural Specification and Functional-Style Syntax ⓘ
linked to:
OWL 2 functional-style syntax
|
| supportsFeature |
Annotations
ⓘ
Cardinality restrictions ⓘ Class axioms ⓘ Data property axioms ⓘ Datatype support ⓘ Disjointness axioms ⓘ Individual assertions ⓘ Keys ⓘ Nominals (enumerated classes) ⓘ Object property axioms ⓘ Property chains ⓘ Property characteristics such as functionality ⓘ Property characteristics such as symmetry ⓘ Property characteristics such as transitivity ⓘ |
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 DL Description of subject: OWL 2 DL is a highly expressive yet decidable description logic–based profile of the OWL 2 Web Ontology Language, designed to balance rich modeling capabilities with computational completeness and decidability.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.