Ontology Hub

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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

898

results

How to

pmovn - Predicate Model for Ontologies (PreMOn) - VerbNet ontology module
http://premon.fbk.eu/ontology/vn

The VerbNet module of the PreMOn ontology extends the core module with classes and properties specific to the VerbNet predicate model. The modelling is based on the VerbNet Annotation Guidelines. @en
pna - Press.net Asset Ontology
http://data.press.net/ontology/asset/

Press.net Asset Ontology describes news assets (text, images, video, data, etc), the relationships between them and how assets can be classified and semantically annotated. @en
pnc - Press.net Classification Ontology
http://data.press.net/ontology/classification/

The Press.net Classification Ontology allows assets to be holistically classified using a controlled vocabulary or taxonomy. @en
pne - Press.net Event Ontology
http://data.press.net/ontology/event/

Press.net Event Ontology models news-worthy events and their relationship to news assets and stuff (simple entities) in the world. @en
pni - SNaP Identifier Ontology
http://data.press.net/ontology/identifier/

The Identifier Ontology models non-RDF based Identifiers for resources. It is used to maintain a mapping between RDF resources identifiers and their equivalent IDs in an alternate, non-RDF based domain. @en
pns - Press.net Stuff Ontology
http://data.press.net/ontology/stuff/

Press.net Stuff Ontology models real world entities. There are two kinds of stuff: tangibles and intangibles. Tangible stuff includes persons, locations and organizations. Intangibles are abstract concepts such as smoking, feminism or love. @en
pnt - Press.net Tag Ontology
http://data.press.net/ontology/tag/

Press.net Tag Ontology defines relationships for semantically annotating taggable things (for example news assets) with domain entities (stuff) and events. @en
po - Programmes ontology
http://purl.org/ontology/po/

This ontology aims at providing a simple vocabulary for describing programmes. It covers brands, series (seasons), episodes, broadcast events, broadcast services, etc. @en
poder - Poder Vocabulary
http://dev.poderopedia.com/vocab/schema

A vocabulary to express information about people and their relations with Organizations, Companies, etc. @en
poso - Positioning System Ontology
http://purl.org/poso/

This ontology provides the terminologies used for positioning systems. @en
posocm - Positioning System Ontology Common Technologies, Algorithms and Systems
http://purl.org/poso/common/

This ontology provides the terminologies used for positioning systems. @en
postcode - Postcode Ontology
http://data.ordnancesurvey.co.uk/ontology/postcode/

An ontology describing the postcode geography in Great Britain. @en
poste - "La Poste" Ontology
http://data.lirmm.fr/ontologies/poste

This vocabulary describes the contact points of the postal agencies network in France. @en
ppo - Privacy Preference Ontology
http://vocab.deri.ie/ppo

An ontology to create privacy preferences for Linked Data @en
pproc - PPROC ontology
http://contsem.unizar.es/def/sector-publico/pproc

The PPROC ontology defines the necessary concepts to describe public procurement process and the contracts of public sector (public e-procurement). The ontology has been designed with the main purpose of publishing data about public contracts. @en

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Selected vocabularies

Patterns?:	type name both
Flatten?:	yes no

Type

vocabulary (898)
property/class >
agent >

Language

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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)