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

113

results

How to

part - Participation Schema
http://purl.org/vocab/participation/schema

The participation ontology is a simple model for describing the roles that people play within groups. It is intended that specific domains will create subclasses of roles within their own areas of expertise. @en
rel - Relationship
http://purl.org/vocab/relationship/

A vocabulary for describing relationships between people @en
bio - BIO: A vocabulary for biographical information
http://purl.org/vocab/bio/0.1/

A vocabulary for describing biographical information about people, both living and dead. @en
wai - Roles and Profiles Ontology
http://purl.org/wai#

WAI vocabulary aims to extend the FOAF specification through introducing the concepts of roles and profiles. In society, people are more than just persons, they can be musicians, presidents of government, firemen, football players or car drivers in a traffic jam. @en
cs - Changeset
http://purl.org/vocab/changeset/schema

This vocabulary defines a set of terms for describing changes to resource descriptions. @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
mil - Military Ontology Specification
http://rdf.muninn-project.org/ontologies/military

The Muninn Military Ontology marks up information about military people, organizations and events. @en
sioc - Semantically-Interlinked Online Communities
http://rdfs.org/sioc/ns#

SIOC is an ontology for describing the information in online communities. @en
ruto - Test-Driven Data Debugging Ontology
http://rdfunit.aksw.org/ns/core#

The Databugger ontology describes concepts used in Databugger, a test driven data-debugging framework that can run automatically generated (based on a schema) and manually generated test cases against an endpoint. @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
tsioc - SIOC Types Ontology Module
http://rdfs.org/sioc/types#

Extends the SIOC Core Ontology (Semantically-Interlinked Online Communities) by defining subclasses and subproperties of SIOC terms. @en
odrs - Open Data Rights Statement Vocabulary
http://schema.theodi.org/odrs

A vocabulary that supports the publication of Open Data by providing the means to capture machine-readable "rights statements", e.g. the licensing information, copyright notices and attribution requirements that are associated with the publication and re-use of a dataset. @en
st - The Stop Times ontology
http://semweb.mmlab.be/ns/stoptimes#Ontology

This ontology provides the predicates necessary to describe an arrival of a transit vehicle and its departure at a certain Stop. @en
dqc - The Data Quality Constraints Library
http://semwebquality.org/ontologies/dq-constraints

This RDF document contains a library of data quality constraints represented as SPARQL query templates based on the SPARQL Inferencing Framework (SPIN). The data quality constraint templates are especially useful for the identification of data quality problems during data entry and for periodic quality checks during data usage. @en
cwrc - The CWRC Ontology
http://sparql.cwrc.ca/ontologies/cwrc

The CWRC Ontology is the ontology of the Canadian Writing Research Collaboratory. @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)