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

131

results

How to

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-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
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
vair - Vocabulary of AI Risks
https://w3id.org/vair

VAIR is a taxonomy of AI and risk concepts. @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
wotsec - Security mechanisms for the Web of Things
https://www.w3.org/2019/wot/security#

Security mechanisms for the the Web of Thing @en
sur - The Survey Ontology
https://www.w3id.org/survey-ontology

Ontology for surveys based on the Coney data model. @en
algo
http://securitytoolbox.appspot.com/securityAlgorithms#
fairo
https://w3id.org/fair-o
sdc
https://w3id.org/statbarnsdc
rcao
https://www.w3id.org/rcao

1...7 89

Selected vocabularies

Patterns?:	type name both
Flatten?:	yes no

Type

vocabulary (131)
property/class >
agent >

Language

English (102)
German (5)
French (4)
en (4)
Portuguese (3)
Spanish (1)

: Linked Open Vocabularies

Documentation

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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)