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

112

results

How to

toco - Toucan Ontology
http://purl.org/toco/

A ontology developed for telecommunciation network systems with hybrid technologies, e.g., WiFi, LiFi, LTE, 2G/3G, optical, etc. @en
xapi - xAPI Controlled Vocabulary Ontology
http://purl.org/xapi/ontology#

This ontology contains a list of the classes and properties that can be used when for creating and publishing a controlled vocabulary dataset for xAPI communities of practice. @en
snarm - Simple Network Access Rights Management Ontology
http://rdf.myexperiment.org/ontologies/snarm/

This ontology is designed for representing access rights within a simple network of associated users/groups @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
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
rsctx - Recommender System Context
http://softeng.polito.it/rsctx

This ontology represent context which may be interesting in providing recommendations to users. @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
uri4uri - URI Vocabulary
http://uri4uri.net/vocab

This vocabulary describes the entities which may be derived from a URI and the relationships between them, such as Internet Domains, prototcols, file suffixes etc. It was initially issued as part of an April 1st gag, but has utility beyond the initial joke. @en
odapp - Open Data Applications Vocabulary
http://vocab.deri.ie/odapp

This is an early version of a vocabulary to describe "open data applications" i.e. applications built using open data. Examples of such applications are listed on government open data catalogues and participant on open data competitions. @en
ppo - Privacy Preference Ontology
http://vocab.deri.ie/ppo

An ontology to create privacy preferences for Linked Data @en
search - Sindice Search Vocabulary
http://vocab.deri.ie/search

A vocabulary for ranked search results, for use in the Sindice API. @en
raul - RAUL Vocabulary
http://vocab.deri.ie/raul

A vocabulary to describe Web form widgets. Strongly aligned with the meta model of HTML Web forms. A RESTful service that can render HTML Web forms from RaUL models can be found at: http://w3c.org.au/raul @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
akts - AKT Support Ontology
http://www.aktors.org/ontology/support

The AKT Reference Ontology has been designed to support the AKT-2 demonstrator ("AKTive Portal"), and subsequent activities @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)