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

148

results

How to

sou - QUDT VOCAB Systems of Units Release 2.1.34
http://qudt.org/2.1/vocab/sou

QUDT VOCAB Systems of Units Release 2.1.34 @en
qudt - Quantities, Units, Dimensions and Types
http://qudt.org/schema/qudt

The QUDT, or 'Quantity, Unit, Dimension and Type' collection of ontologies define the base classes properties, and restrictions used for modeling physical quantities, units of measure, and their dimensions in various measurement systems. @en
disco - DDI-RDF Discovery Vocabulary
http://rdf-vocabulary.ddialliance.org/discovery

A metadata vocabulary for documenting research and survey data @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
scot - Social Semantic Cloud of Tags
http://rdfs.org/scot/ns#

SCOT is an ontology for describing the structure and the semantics for tagging data across heterogenous users, sources, and applications. @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
odv - Organogram Data Vocabulary
http://reference.data.gov.uk/def/organogram

Extension of data cube for civil service junior posts @en
losp - Linked open specialities RF
http://sparql.sstu.ru:3030/speciality/

Ontology Specialties describes all possible specialties (directions) in the RF, in which the UGNS they are composed, as well as information about their old codes / groups / names. @en
dfc-t - A common vocabulary for digital food platforms (Technical Part)
http://static.datafoodconsortium.org/ontologies/DFC_TechnicalOntology.owl

A common vocabulary for digital food platforms (Technical Part) @en
spt - SPITFIRE Ontology
http://spitfire-project.eu/ontology/ns

TheSPITFIRE Ontology (spt) is based on the alignment among Dolce+DnS Ultralite(dul), the W3C Semantic Sensor Network ontology (ssn) and the Event Model-F ontology (event). @en
scovo - The Statistical Core Vocabulary
http://vocab.deri.ie/scovo

A vocabulary for representing statistical data on the Web. Note :The SCOVO vocabulary is deprecated. We strongly advise to use the Data Cube Vocabulary instead. @en
incident - Vocabulary to describe incident response by emergency services
http://vocab.resc.info/incident

Vocabulary to describe the response to a incident by emergency services. This is NOT intended to describe the incident itself, it describes the response @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
dt - Data Template (DT) Ontology
http://w3id.org/dt

The Data Template (DT) Ontology is based on concepts and principles for creating templates from ISO 23387 and the associated XML data schema, which is currently under development. @en
roh - The ASIO ontology
http://w3id.org/roh

An ontology to address the Research Management of the CRUE's Spanish University System (Sistema Universitario Español) by applying an encompassing model not only capable of addressing the universities of the CRUE but also more belonging to the European Union. @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)