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

912

results

How to

phdd - Physical Data Description
http://rdf-vocabulary.ddialliance.org/phdd

Physical data description (PHDD) of existing or published data (tables) in a rectangular format. The data could be either represented in records with character-separated values (CSV) or in records with fixed length. @en
rdam - RDA Manifestation properties
http://rdaregistry.info/Elements/m

The Manifestation properties element set consists of properties representing the attributes and relationships of the RDA Manifestation entity. @en
rdau - RDA Unconstrained properties
http://rdaregistry.info/Elements/u

The Unconstrained properties element set consists of properties representing the attributes and relationships of the all RDA entities. Each property in the element set has semantics which are independent of the FRBR model and has no specified domain or range. @en
rdai - RDA Item properties
http://rdaregistry.info/Elements/i

The Item properties element set consists of properties representing the attributes and relationships of the RDA Item entity. @en
rdaw - RDA Work properties
http://rdaregistry.info/Elements/w

The Work properties element set consists of properties representing the attributes and relationships of the RDA Work entity. @en
rdaa - RDA Agent properties
http://rdaregistry.info/Elements/a

The Agent properties element set consists of properties representing the attributes and relationships of the RDA Agent, Person, Family, and Corporate Body entities. Each property in the element set has a domain of the class representing one of these entities. @en
disco - DDI-RDF Discovery Vocabulary
http://rdf-vocabulary.ddialliance.org/discovery

A metadata vocabulary for documenting research and survey data @en
cmo - Conceptual Model Ontology
http://purl.org/twc/ontologies/cmo.owl

An ontology to tie classes and properties to SKOS concepts @en
idemo - Demographic ontology from the French Statistics Institute
http://rdf.insee.fr/def/demo

Ontology with classes and properties used for demography, mostly in the census of the population @en
igeo - French Statistical ontology for geolocation
http://rdf.insee.fr/def/geo

Ontology describing geographic entities as seen by the French Statistical Institute @en
juso - Juso Ontology
http://rdfs.co/juso/

Juso Ontology is a Web vocabulary for describing geographical addresses and features. @en
juso.kr - South Korea Extension to Juso Ontology
http://rdfs.co/juso/kr/

South Korea Extension to Juso Ontology is a Web vocabulary that extends Juso Ontology to describe geographical addresses and features in South Korea. @en
snarm - Simple Network Access Rights Management Ontology
http://rdf.myexperiment.org/ontologies/snarm/

This ontology is designed for representing access rights within a simple network of associated users/groups @en
bevon - BEVON: Beverage Ontology
http://rdfs.co/bevon/

Beverage Ontology is a Web vocabulary for describing beverages, mainly alcoholic. @en
aos - Appearances Ontology Specification
http://rdf.muninn-project.org/ontologies/appearances

Appearances is an ontology that grew out of the need to record personal appearance details about individuals while taking into account errors of perception and translation between various diffferent standards. Originally it was meant to record physical caracteristics of Great War soldiers from their medical files, but it became evident that the resource was also useful for other purposes. @en

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Selected vocabularies

Patterns?:	type name both
Flatten?:	yes no

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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)