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

results

How to

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
isoadr - ISO19160-1:2015 Address ontology
http://reference.data.gov.au/def/ont/iso19160-1-address

This ontology is a version of the ISO TC211, Group for Ontology Management (GOM)'s OWL ontology interpretation of the ISO19160-1:2015 "Addressing -- Part 1: Conceptual model" standard (see https://www.iso.org/standard/61710.html) taken from that ontology's source code, published at https://github.com/ISO-TC211/GOM/tree/master/isotc211_GOM_harmonizedOntology/19160-1/2015. @en
thors - The Temporal Ordinal Reference Systems
http://resource.geosciml.org/ontology/timescale/thors

An OWL representation of the model for Temporal Ordinal Reference Systems defined in GeoSciML v3. @en
gts - Geologic Timescale model
http://resource.geosciml.org/ontology/timescale/gts

This is an RDF/OWL representation of the GeoSciML Geologic Timescale model, which has been adapted from the model described in Cox, S.J.D, & Richard, S.M. (2005) A formal model for the geologic timescale and GSSP, compatible with geospatial information transfer standards, Geosphere, Geological Society of America 1/3, 119–137. @en
interval - Intervals Ontology
http://reference.data.gov.uk/def/intervals

An ontology for time intervals @en
oh - The Opening Hours vocabulary
http://semweb.mmlab.be/ns/oh

A vocabulary to describe opening hours using calendars (recommended: iCal, RDFCal or schema.org) published on the Web. @en
sem - The SEM Ontology
http://semanticweb.cs.vu.nl/2009/11/sem/

The SEM Ontology defines entities that make up the context of an event: Events, Actors, Places, Times. @en
tp - Tourpedia Ontology
http://tour-pedia.org/download/tp.owl

A vocabulary to describe touristic places: accommodations, points of interest, restaurants and attractions. @en
frappe - FraPPE: Frame, Pixel, Place, Event vocabulary
http://streamreasoning.org/ontologies/frappe#

FraPPE is a vocabulary to enable Visual Analytics operations on geo-spatial time varying data. By enabling Visual Analytics instruments FraPPE ease the capture, correlation and comparison operations on geo-spatial data from different sources evolving over time @en
rooms - Buildings and Rooms Vocabulary
http://vocab.deri.ie/rooms

A simple vocabulary for describing the rooms in a building. @en
geod - Administrative vocabulary for Norway
http://vocab.lenka.no/geo-deling

Vocabulary describing the administrative subdivision of Norway @en
ceon-processODP - Circular Economy Ontology Network (CEON) - Process ODP
http://w3id.org/CEON/ontology/processODP/

A core ODP of the CEON ontology network, defining aspects of the process concept. @en
ceon-plan - Circular Economy Ontology Network (CEON) - Plan Module
http://w3id.org/CEON/ontology/plan/

The Plan module of CEON (Circular Economy Ontology Network). @en
ceon-process - Circular Economy Ontology Network (CEON) - Process Module
http://w3id.org/CEON/ontology/process/

The Process module of CEON (Circular Economy Ontology Network). @en
arp - Arpenteur Ontology
http://www.arpenteur.org/ontology/Arpenteur.owl

Arpenteur ontology is dedicated to photogrammetry, archeology and oceanology communities in order to perform tasks such as image processing, photogrammetry and modelling. @en

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Selected vocabularies

Patterns?:	type name both
Flatten?:	yes no

Type

vocabulary (97)
property/class >
agent >

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French (12)
Italian (7)
Dutch (6)
German (6)
Chinese (5)
Russian (5)
Spanish (5)
Japanese (4)
Portuguese (4)
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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)