Linked Open Vocabularies

Vocabs
Terms
Agents
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

145

results

How to

md - OWL representation of ISO 19115
http://def.seegrid.csiro.au/isotc211/iso19115/2003/metadata

An OWL representation of parts of the Geographic Metadata model described in ISO 19115:2003 with Corrigendum 2006 - MD Package. @en
isbd - ISBD elements
http://iflastandards.info/ns/isbd/elements/

This is a registration of classes and properties from International Standard Bibliographic Description (ISBD), consolidated edition, published by De Gruyter Saur in July 2011 (ISBN 978-3-11-026379-4). @en
nen3610 - NEN 3610 - base model geo-information
http://modellen.geostandaarden.nl/def/nen3610

NEN 3610 - base model geo-information – terms, definitions, relationships and general rules for the exchange of information about earth related spatial objects @en
lsq - The Linked SPARQL Queries Vocabulary (LSQ(V))
http://lsq.aksw.org/vocab

The Linked SPARQL Queries Vocabulary (LSQ(V)), defined using RDF(S) and OWL, provides a machine readable vocabulary to help describe queries in SPARQL logs and their statistics. The vocabulary builds upon the SPIN vocabulary and the Service Description vocabulary. @en
dcndl - NDL Metadata Terms
http://ndl.go.jp/dcndl/terms/

RDF Schema declaration for Japan NDL Metadata Terms @en
lsweb - ELSEWeb Data Ontology
http://ontology.cybershare.utep.edu/ELSEWeb/elseweb-data.owl

The ELSEWeb Data ontology provides simple classes for describing datasets. This project provides foundational support for the ELSEWeb project(http://elseweb.cybershare.utep.edu/). website: http://elseweb.cybershare.utep.edu/ontologies email: nvillanuevarosales@utep.edu @en
dm2e - DM2E model
http://onto.dm2e.eu/schemas/dm2e

The DM2E model is a specialisation of the Europeana Data Model (EDM) and can be used for the description of manuscripts in the cultural heritage domain. @en
limoo - License Model Ontology
http://purl.org/LiMo/0.1#

A vocabulary to describe licenses @en
ru - Representational Units Metadata Ontology
http://purl.org/imbi/ru-meta.owl

Draft for a recommendation for metadata on Representational Units (RU) which appear in ontologies. It is so far harmonized for implementation through owl annotation properties. @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
vann - VANN: A vocabulary for annotating vocabulary descriptions
http://purl.org/vocab/vann/

A vocabulary for annotating descriptions of vocabularies with examples and usage notes. @en
voaf - Vocabulary of a Friend
http://purl.org/vocommons/voaf

A vocabulary to describe linked data vocabularies and their relations @en
ro - The Research Object Ontology
http://purl.org/wf4ever/ro

This ontology shows how AO and ORE ontologies can be used together to define a ResearchObject. This ontology is further customized by the wf4ever ontology. @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.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

1 2 345 6...10

Selected vocabularies

Patterns?:	type name both
Flatten?:	yes no

Type

vocabulary (145)
property/class >
agent >

Language

English (108)
French (15)
Spanish (9)
Italian (7)
German (6)
Dutch (5)
Chinese (4)
Japanese (4)
Korean (4)
Portuguese (3)
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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)