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

ceon-actorODP - Circular Economy Ontology Network (CEON) - Actor ODP
http://w3id.org/CEON/ontology/actorODP/

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

The Actor module of CEON (Circular Economy Ontology Network). @en
attack - MITRE ATT&CK Ontology
http://w3id.org/sepses/vocab/ref/attack

An ontology to represent MITRE ATT & CK. This ontology is developed based on the MITRE ATT & CK (https://attack.mitre.org/) @en
bbcprov - BBC Provenance Ontology
http://www.bbc.co.uk/ontologies/provenance

The provenance ontology supports data management and auditing tasks. It is used to define the different types of named graphs we used in the store (quad store) and enables their association with metadata that allow us to manage, validate and expose data to BBC services @en
whois - Who's who description vocabulary
http://www.kanzaki.com/ns/whois

A vocabulary to describe a person's profile and history @en
identity - Ontology of digital identity.
http://www.identity.org/ontologies/identity.owl

v.2.0 based on P3P1.0 Specification http://www.w3.org/TR/P3P/ @en
irw - The Identity of Resources on the Web ontology
http://www.ontologydesignpatterns.org/ont/web/irw.owl

This ontology is an evolution of IRE ontology. It describes identification of resources on the Web, through the definition of relationships between resources and their representations on the Web. The requirement is to describe what can be identified by URIs and how this is handled e.g. in form of HTTP requests and reponds. @en
con - Contact
http://www.w3.org/2000/10/swap/pim/contact

Utility concepts for everyday life @en
ct - Connectivity types
http://www.tele.pw.edu.pl/~sims-onto/ConnectivityType.owl

Defines types of connectivity used in communication and bearer services accessible in certain connectivity. @en
ontosec - Ontology Security
http://www.semanticweb.org/ontologies/2008/11/OntologySecurity.owl

This ontology covers the domain of security in the field of mobile applications. @en
test - Test Metadata
http://www.w3.org/2006/03/test-description

This ontology aims at defining the Quality Assurance Framework by collecting the test development experience of W3C Working Groups and summarizing the work done about tests and metadata. @en
vcard - An Ontology for vCards
http://www.w3.org/2006/vcard/ns

This ontology models and represents vCards in RDF using current best practices @en
earl - Evaluation and Report Language
http://www.w3.org/ns/earl

EARL is a vocabulary, the terms of which are defined across a set of specifications and technical notes, and that is used to describe test results. The primary motivation for developing this vocabulary is to facilitate the exchange of test results between Web accessibility evaluation tools in a vendor-neutral and platform-independent format. It also provides reusable terms for generic quality assurance and validation purposes. @en
dqv - Data Quality Vocabulary
http://www.w3.org/ns/dqv

The Data Quality Vocabulary (DQV) is seen as an extension to DCAT to cover the quality of the data, how frequently is it updated, whether it accepts user corrections, persistence commitments etc. When used by publishers, this vocabulary will foster trust in the data amongst developers. @en
duv - Dataset Usage Vocabulary
http://www.w3.org/ns/duv

The Dataset Usage Vocabulary (DUV) is used to describe consumer experiences, citations, and feedback about datasets from the human perspective. @en

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Selected vocabularies

Patterns?:	type name both
Flatten?:	yes no

Type

vocabulary (85)
property/class >
agent >

Language

English (70)
French (5)
German (5)
Spanish (4)
Dutch (2)
Arabic (1)
Basque (1)
Chinese (1)
Italian (1)
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)