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

poder - Poder Vocabulary
http://dev.poderopedia.com/vocab/schema

A vocabulary to express information about people and their relations with Organizations, Companies, etc. @en
rdarel2 - RDA Relationships GR2
http://metadataregistry.org/uri/schema/RDARelationshipsGR2

RDA Relationships for Persons, Corporate Bodies, Families @en
opo - Online Presence Ontology
http://online-presence.net/opo/ns#

Ontology for representing Online Presence @en
ic - International Contact Ontology: Addresses, phone numbers and emails.
http://ontology.eil.utoronto.ca/icontact.owl

This ontology provides basic classes and more detailed properties for representating international street addresses, phone numbers and emails. Rather than using existing ontologies, such as vcard, it was decided to create a new one as the vcard and foaf ignore the details of international addresses, phone numbers, etc. @en
gen - Vocabulary for Linked Genealogical Data
http://purl.org/gen/0.1#

A simple RDF vocabulary containing terms to facilitate the linking of genealogical data. @en
dicom - Healthcare metadata - DICOM ontology
http://purl.org/healthcarevocab/v1

Ontology for healthcare metadata - especially metadata found in DICOM files (Digital Imaging and Communications in Medicine, see http://dicom.nema.org/). Author: Michael Brunnbauer, Bonubase GmbH (www.bonubase.com). The author's email address is brunni@netestate.de. See http://purl.org/healthcarevocab/v1help for explanations. @en
cco - Cognitive Characteristics Ontology
http://purl.org/ontology/cco/core#

The Cognitive Characteristics Ontology specification provides a vocabulary for describing cognitive pattern within contexts, their temporal dynamics and their origins, on/ for the Semantic Web. @en
dpo - Diabetes Pharmacology Ontology
http://purl.org/twc/dpo/ont/diabetes_pharmacology_ontology.ttl

The Diabetes Pharmacology Ontology contains the classes needed to describe antihyperglycemic therapies. @en
rel - Relationship
http://purl.org/vocab/relationship/

A vocabulary for describing relationships between people @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
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
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
maso - Mobile Agents Security
http://securitytoolbox.appspot.com/MASO

Ontology for security of mobile agents @en
algo - Algorithms Ontology
http://securitytoolbox.appspot.com/securityAlgorithms#

An ontology describing cryptographic algorithms @en
security - Security Ontology
http://securitytoolbox.appspot.com/securityMain

A security ontology to annotate resources with security-related information @en

123 4 5

Selected vocabularies

Patterns?:	type name both
Flatten?:	yes no

Type

vocabulary (65)
property/class >
agent >

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English (53)
French (6)
Spanish (5)
German (3)
Dutch (2)
Arabic (1)
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Chinese (1)
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Japanese (1)
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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)