OWL 2 QL
E31305
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.
All labels observed (4)
| Label | Occurrences |
|---|---|
| OWL 2 QL canonical | 5 |
| DL-Lite family | 1 |
| OWL 2 | 1 |
| OWL 2 Web Ontology Language Profiles specification | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T230890 — 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 2 QL Context triple: [OWL, hasProfile, OWL 2 QL]
-
A.
OWL Full
OWL Full is the most expressive and semantically unrestricted variant of the Web Ontology Language, allowing full RDF compatibility at the cost of computational decidability.
-
B.
OWL
OWL (Web Ontology Language) is a W3C-recommended semantic web language used to define and share rich, machine-interpretable ontologies on the web.
-
C.
SPARQL
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.
-
D.
RDFS
RDFS (RDF Schema) is a semantic web vocabulary language used to define the structure, classes, and properties of RDF data.
-
E.
Semantic Web
The Semantic Web is an extension of the current web in which information is given well-defined meaning through standards like RDF and OWL, enabling machines to understand, share, and reason about data across different systems.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: OWL 2 QL Target entity description: 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.
-
A.
OWL Full
OWL Full is the most expressive and semantically unrestricted variant of the Web Ontology Language, allowing full RDF compatibility at the cost of computational decidability.
-
B.
OWL
OWL (Web Ontology Language) is a W3C-recommended semantic web language used to define and share rich, machine-interpretable ontologies on the web.
-
C.
SPARQL
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.
-
D.
RDFS
RDFS (RDF Schema) is a semantic web vocabulary language used to define the structure, classes, and properties of RDF data.
-
E.
Semantic Web
The Semantic Web is an extension of the current web in which information is given well-defined meaning through standards like RDF and OWL, enabling machines to understand, share, and reason about data across different systems.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
OWL 2 profile
ⓘ
ontology language profile ⓘ |
| allows |
concept inclusions of limited form
ⓘ
role inclusions with certain restrictions ⓘ |
| basedOn | DL-Lite family of description logics ⓘ |
| compatibleWith | standard relational database technologies ⓘ |
| contrastedWith |
OWL DL
ⓘ
surface form:
OWL 2 DL
OWL 2 EL ⓘ OWL 2 RL ⓘ |
| designedFor |
efficient query answering
ⓘ
large datasets ⓘ use with relational database systems ⓘ |
| disallows |
arbitrary role composition
ⓘ
complex cardinality restrictions ⓘ full negation on complex concepts ⓘ |
| enables | rewriting ontology-mediated queries into SQL ⓘ |
| hasAbbreviation | QL ⓘ |
| hasComplexity | AC0 data complexity for certain query answering tasks ⓘ |
| hasConstraint |
no complex role inclusion cycles
ⓘ
no role transitivity axioms ⓘ |
| hasDesignGoal |
scalability to very large data volumes
ⓘ
tractable reasoning over large ABoxes ⓘ |
| hasDesignTradeoff |
limited support for complex class constructors
ⓘ
restricted expressivity in the TBox ⓘ |
| hasProfileType | lightweight profile ⓘ |
| hasProperty | first-order rewritability of queries ⓘ |
| hasReasoningTask |
classification of lightweight ontologies
ⓘ
query answering ⓘ |
| hasSemantics | model-theoretic semantics of OWL 2 ⓘ |
| implementedIn |
OBDA systems
ⓘ
various ontology reasoners ⓘ |
| introducedIn | OWL 2 recommendation ⓘ |
| nameMeaning | Query Language ⓘ |
| optimizedFor | conjunctive query answering ⓘ |
| partOf |
OWL 2 QL
self-linksurface differs
ⓘ
surface form:
OWL 2
|
| relatedTo |
RDF
ⓘ
SPARQL ⓘ ontology-based data management ⓘ |
| specifiedIn |
OWL 2 QL
self-linksurface differs
ⓘ
surface form:
OWL 2 Web Ontology Language Profiles specification
|
| standardizedBy |
World Wide Web Consortium
ⓘ
surface form:
W3C
|
| subClassOf | Description Logic ⓘ |
| supports | polynomial-time query answering in data complexity ⓘ |
| targetEnvironment |
database-backed applications
ⓘ
enterprise information systems ⓘ |
| useCase |
data integration over relational sources
ⓘ
ontology-based data access ⓘ semantic querying of legacy databases ⓘ |
| usedWith | mapping languages for relational-to-ontology mappings ⓘ |
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 2 QL Description of subject: 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.
Referenced by (8)
Full triples — surface form annotated when it differs from this entity's canonical label.