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

907

results

How to

void - Vocabulary of Interlinked Datasets
http://vocab.deri.ie/void

The Vocabulary of Interlinked Datasets (VoID) is an RDF Schema vocabulary for expressing metadata about RDF datasets. @en
voidext - Extended Vocabulary of Interlinked Datasets (VoIDext)
http://purl.org/query/voidext

The Extension of the Vocabulary of Interlinked Datasets (VoID) RDF Schema that includes the concept of virtual links. This extension enhances interoperability among heterogeneous and distributed RDF data sets by bridging them through explicitly defined virtual links. @en
voidwh - Void Warehouse Ontology
http://www.ics.forth.gr/isl/VoIDWarehouse/VoID_Extension_Schema.owl

An extension of W3C VoID that is able to represent these metrics for expressing the Connectivity Metrics of a Semantic Warehouse. @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
vra - RDFS Ontology for VRA
http://simile.mit.edu/2003/10/ontologies/vraCore3#

The VRA Core is a set of metadata elements to describe works of visual culture as well as the images that document them. @en
vrank - Vocabulary for Ranking
http://vocab.sti2.at/vrank

The Vocabulary for Ranking (vRank) is an RDF Schema vocabulary for materializing ranking computations. @en
vs - SemWeb Vocab Status ontology
http://www.w3.org/2003/06/sw-vocab-status/ns

An RDF vocabulary for relating SW vocabulary terms to their status. @en
vsearch - vSearch Vocabulary
http://purl.org/vsearch/

The vSearch vocabulary facilitates the querying and retrieval of vocabulary terms from a vocabularies directory. It can be used to map keywords with mapped result terms accompanied with a ranking value. @en
vso - Vehicle Sales Ontology
http://purl.org/vso/ns

The Vehicle Sales Ontology for Semantic Web-based E-Commerce @en
vvo - Volkswagen Vehicles Ontology
http://purl.org/vvo/ns#

A vocabulary for describing Volkswagen-specific features of automobiles and their components @en
w3c-ssn - Semantic Sensor Network Ontology
https://www.w3.org/ns/ssn

This ontology describes sensors and observations, and related concepts. It does not describe domain concepts, time, locations, etc. as these are intended to be included from other ontologies via OWL imports. @en
wai - Roles and Profiles Ontology
http://purl.org/wai#

WAI vocabulary aims to extend the FOAF specification through introducing the concepts of roles and profiles. In society, people are more than just persons, they can be musicians, presidents of government, firemen, football players or car drivers in a traffic jam. @en
wdrs - Protocol for Web Description Resources
http://www.w3.org/2007/05/powder-s

The Protocol for Web Description Resources (POWDER) allows metadata to be associated with groups of resources such as those found on a Web site. @en
wf-invoc - Workflow Invocation Ontology
http://purl.org/net/wf-invocation

Wf-invoc is a simple profile of the P-plan ontology to describe how workflow steps are invoked within a workflow execution. @en
wfdesc - The Wfdesc ontology
http://purl.org/wf4ever/wfdesc

This ontology ("wfdesc") describes an abstract workflow description structure, allowing the description of a scientific workflow as a direct acyclic graph, or a dataflow. This ontology is meant as an upper ontology for more specific workflow definitions, and as a way to express abstract workflows. The wfprov ontology shows how to link these descriptions to a provenance trace of a workflow execution. @en

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Selected vocabularies

Patterns?:	type name both
Flatten?:	yes no

Type

vocabulary (907)
property/class >
agent >

Language

: 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)