OWL
E4407
OWL (Web Ontology Language) is a W3C-recommended semantic web language used to define and share rich, machine-interpretable ontologies on the web.
All labels observed (10)
| Label | Occurrences |
|---|---|
| OWL canonical | 13 |
| Web Ontology Language | 7 |
| OWL Lite | 3 |
| OWL 1 | 2 |
| OWL 2 | 1 |
| OWL 2 DL | 1 |
| OWL DL | 1 |
| OWL Functional Syntax | 1 |
| OWL Web Ontology Language | 1 |
| Web Ontology Language (OWL) | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T20841 — 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: OWL Context triple: [World Wide Web Consortium, developsStandard, OWL]
-
A.
Open Knowledge Foundation
Open Knowledge Foundation is a global nonprofit organization that promotes open data and open knowledge to foster transparency, innovation, and civic engagement.
-
B.
World Wide Web Consortium
The World Wide Web Consortium (W3C) is the main international standards organization responsible for developing open protocols and guidelines to ensure the long-term growth and interoperability of the Web.
-
C.
XML
XML (Extensible Markup Language) is a flexible, text-based markup language designed for structuring, storing, and transporting data in a platform-independent way.
-
D.
W3
W3 is a common shorthand for the World Wide Web, the global system of interlinked hypertext documents and resources accessed via the internet.
-
E.
On Denoting
"On Denoting" is a seminal 1905 philosophical essay by Bertrand Russell that introduced his influential theory of descriptions and reshaped analytic philosophy of language.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: OWL Target entity description: OWL (Web Ontology Language) is a W3C-recommended semantic web language used to define and share rich, machine-interpretable ontologies on the web.
-
A.
Open Knowledge Foundation
Open Knowledge Foundation is a global nonprofit organization that promotes open data and open knowledge to foster transparency, innovation, and civic engagement.
-
B.
World Wide Web Consortium
The World Wide Web Consortium (W3C) is the main international standards organization responsible for developing open protocols and guidelines to ensure the long-term growth and interoperability of the Web.
-
C.
XML
XML (Extensible Markup Language) is a flexible, text-based markup language designed for structuring, storing, and transporting data in a platform-independent way.
-
D.
W3
W3 is a common shorthand for the World Wide Web, the global system of interlinked hypertext documents and resources accessed via the internet.
-
E.
On Denoting
"On Denoting" is a seminal 1905 philosophical essay by Bertrand Russell that introduced his influential theory of descriptions and reshaped analytic philosophy of language.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
Knowledge representation language
ⓘ
W3C recommendation ⓘ Web ontology language ⓘ |
| abbreviation | OWL ⓘ |
| basedOn | Description logic ⓘ |
| compatibleWith |
RDF
ⓘ
RDFS ⓘ |
| domain | Semantic Web ⓘ |
| enables |
Automated reasoning
ⓘ
Classification of classes ⓘ Consistency checking of ontologies ⓘ Inference of implicit knowledge ⓘ |
| fullName |
OWL
self-linksurface differs
ⓘ
surface form:
Web Ontology Language
|
| hasProfile |
OWL
self-linksurface differs
ⓘ
surface form:
OWL 2 DL
OWL 2 EL ⓘ OWL 2 QL ⓘ OWL 2 RL ⓘ |
| hasVersion |
OWL
self-linksurface differs
ⓘ
surface form:
OWL 2
OWL self-linksurface differs ⓘ
surface form:
OWL DL
OWL Full ⓘ OWL self-linksurface differs ⓘ
surface form:
OWL Lite
|
| partOf |
Semantic Web
ⓘ
surface form:
Semantic Web technology stack
|
| purpose |
Defining ontologies
ⓘ
Machine-interpretable knowledge representation ⓘ Sharing ontologies ⓘ |
| relatedStandard |
RDFS
ⓘ
surface form:
RDF Schema
SPARQL ⓘ |
| serializationFormat |
Manchester OWL Syntax
ⓘ
OWL self-linksurface differs ⓘ
surface form:
OWL Functional Syntax
XML ⓘ
surface form:
OWL/XML
RDF/XML ⓘ Turtle ⓘ |
| standardizedBy |
World Wide Web Consortium
ⓘ
surface form:
W3C
World Wide Web Consortium ⓘ |
| supports |
Class hierarchies
ⓘ
Classes ⓘ Data types ⓘ Individuals ⓘ Logical axioms ⓘ Properties ⓘ Property hierarchies ⓘ Reasoning over ontologies ⓘ |
| typicalUseCase |
Defining constraints on data
ⓘ
Modeling domain vocabularies ⓘ Representing ontologies for AI systems ⓘ |
| usedFor |
Knowledge sharing on the Web
ⓘ
Linked Data applications ⓘ Ontology-based data integration ⓘ Semantic interoperability ⓘ Semantic search ⓘ |
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: OWL Description of subject: OWL (Web Ontology Language) is a W3C-recommended semantic web language used to define and share rich, machine-interpretable ontologies on the web.
Referenced by (31)
Full triples — surface form annotated when it differs from this entity's canonical label.