Linked Open Vocabularies

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SPARQL/Dump
Patterns

How to

Select the ontologies from which you want to extract patterns.

Select patterns options:

Name, Type or both:

Name: Ontology elements in the patterns represent specific classes and properties names.

For example:

# INPUT
s4bldg:BuildingSpace rdfs:subClassOf [
  rdf:type owl:Restriction ;
  owl:onProperty s4bldg:isSpaceOf ;
  owl:allValuesFrom [
    rdf:type owl:Class ;
    owl:unionOf (
      s4bldg:Building
      s4bldg:BuildingSpace
    )
  ]
]

# OUTPUT
Pattern 16
owl:Class
|rdfs:subClassOf
| |owl:Restriction
| | |owl:allValuesFrom
| | | |owl:Class
| | | | |owl:unionOf
| | | | | |rdf:List
| | | | | | |rdf:first
| | | | | | | |owl:Class
| | | | | | |rdf:rest
| | | | | | | |rdf:List
| | | | | | | | |rdf:first
| | | | | | | | | |owl:Class
| | | | | | | | |rdf:rest
| | | | | | | | | |rdf:nil
| | |owl:onProperty

# INPUT
s4bldg:BuildingSpace rdfs:subClassOf [
  rdf:type owl:Restriction ;
  owl:onProperty s4bldg:isSpaceOf ;
  owl:allValuesFrom [
    rdf:type owl:Class ;
    owl:unionOf (
      s4bldg:Building
      s4bldg:BuildingSpace
    )
  ]
]

# OUTPUT
Pattern 16
owl:Class
|rdfs:subClassOf
| |owl:Restriction
| | |owl:allValuesFrom
| | | |owl:Class
| | | | |owl:unionOf
| | |owl:onProperty

Type: Ontology elements in the patterns are generalized according to the OWL elements used.

No specific classes or properties are used, but OWL skeletons like:

owl:Class
  |rdfs:subClassOf
  |  |owl:Restriction
  |  |  |owl:onProperty
  |  |  |  |owl:DatatypeProperty, owl:FunctionalProperty
  |  |  |owl:someValuesFrom
  |  |  |  |rdfs:Datatype

Flatten or not:
1. Flatten: If there are collections of classes or individuals in the pattern, the full collection is not included.
  ¿SERGIO esto aplica a los named? O solo a los que se generalizan como Type?
  
  Otra cosa es que estaría bien indicar algunos ejemplos, pensaba que se incluían 3.
```
owl:Class
  |owl:equivalentClass
  |  |owl:Class
  |  |  |owl:oneOf
```

Output: Tengo que ver el output final y definir esto en detalle

The retrieved .zip file contains the following folders and documents:

“Data” folder. This folder contains the files:
- A
- B
- C
“flatten” folder (if selected): This folder contains the files:
- A
- B
- C
“not_flatten” folder (if selected): This folder contains the files:
- A
- B
- C
HTML folder. This folder contains the files:
- A
- B
- C

156

results

How to

seast - The SEAS Time Ontology.
https://w3id.org/seas/TimeOntology

This ontology defines: - a set of subclasses of `seas:Evaluation` to better interpret evaluations of quantifiable properties. - a set of sub properties of `seas:hasProperty` to qualify time-related properties. @en
sri - Smart Readiness Indicator Vocabulary
https://w3id.org/sri

A vocabulary specifying concepts and structures needed to represent different data cubes needed for the Smart Readiness Indicator. @en
swemls - Semantic-Web Machine Learning System (SWeMLS) Ontology
https://w3id.org/semsys/ns/swemls

An ontology to describe a Semantic-Web Machine Learning System (SWeMLS) @en
sdc - StatbarnSDC Ontology
https://w3id.org/statbarnsdc

An Ontology for the Statbarn Framework used in Output Statistical Disclosure Control (OSDC). @en
tree - TREE
https://w3id.org/tree

A hypermedia specification for fragmenting collections. @en
tribont-equipment - Equipment module
https://w3id.org/tribont/equipment

The goal of this module is to represent the equipment hierarchy model involved in the tribological experiments. @en
tribont-material - Material module
https://w3id.org/tribont/material

The goal of this module is to represent the materials that can be involved in the tribological experiments as part of the tested samples. @en
tribont - TribOnt ontology
https://w3id.org/tribont

The goal is to represent the tribological experiments by relaying on the representation included in the core,, sample and equipment modules. @en
tribont-core - Core module
https://w3id.org/tribont/core

The goal of this module is to represent the common classes, and object and data properties included in two or more modules of the TribOnt ontology. @en
tido - The Threat Intelligence Decision Ontology
https://w3id.org/tido#

The TIDO ontology can be used to describe the decision processes within the threat intelligence domain @en
tribont-sample - Sample module
https://w3id.org/tribont/sample

The goal of this module is to represent the sample systems , and the undelaying samples, involved in the tribological experiments. @en
vpa - ERA ontology for verified permissions
https://w3id.org/vpa

ERA ontology for verified permissions, as applied in vehicle(type) authorisations, registrations and approvals @en
wfont - Wind Farm Ontology (wfont)
https://w3id.org/wfont

The Wind Farm Ontology (wfont) describes wind farms and their components. It is inspired by the SANDIA Report SAND2009-1171 and DAEKIN project outcomes. It reuses the AffectedBy and EEP (Execution-Executor-Procedure) ontology design patterns to discover sensors or actuators that observe or act on a given quality or feature of interest. @en
hw - Home Weather
https://www.auto.tuwien.ac.at/downloads/thinkhome/ontology/WeatherOntology.owl

Smart home ontology for weather phenomena and exterior conditions @en
vair - Vocabulary of AI Risks
https://w3id.org/vair

VAIR is a taxonomy of AI and risk concepts. @en

1...8 91011

Selected vocabularies

Patterns?:	type name both
Flatten?:	yes no

Type

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agent >

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Este trabajo ha recibido financiación del proyecto PIONERA (Potenciando la interoperabilidad en espacios de datos mediante inteligencia artificial), un proyecto financiado en el contexto de la convocatoria Productos y Servicios tecnológicos para Espacio de Datos del Ministerio para la Transformación Digital y de la Función Pública en el marco del PRTR financiado por Unión Europea (NextGenerationEU)