Ontology Hub

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Terms
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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

898

results

How to

umbel - Upper Mapping and Binding Exchange Layer
http://umbel.org/umbel

UMBEL provides a general vocabulary of classes and predicates for describing domain ontologies, with the specific aim of promoting interoperability with external datasets and domains. @en
uneskos - UNESKOS Vocabulary
http://purl.org/umu/uneskos

An RDF vocabulary for extending some SKOS and ISO-THES functions in order to improve the linked data consumption of SKOS datasets @en
uniprot - Uniprot Core Ontology
http://purl.uniprot.org/core/

Properties and classes used for protein annotation @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
usability - Usability
https://w3id.org/usability

Ontology 'Usability' created to describe and store information about interactions of user with a software user interface @en
va - The Visual Analytics Vocabulary
http://code-research.eu/ontology/visual-analytics

This vocabulary allows the semantic description of visual analytics applications. It is based on the RDF Data Cube Vocabulary and the Semanticscience Integrated Ontology. @en
vaem - Vocabulary for Attaching Essential Metadata
http://www.linkedmodel.org/schema/vaem

The purpose of VAEM is to provide, by import, a foundation for commonly needed resources when building an ontology. @en
vag - The Vagueness Ontology
http://www.essepuntato.it/2013/10/vagueness

The Vagueness Ontology (VO) allows one to specify vagueness characterisations of the TBox entities of an ontology. @en
vair - Vocabulary of AI Risks
https://w3id.org/vair

VAIR is a taxonomy of AI and risk concepts. @en
vann - VANN: A vocabulary for annotating vocabulary descriptions
http://purl.org/vocab/vann/

A vocabulary for annotating descriptions of vocabularies with examples and usage notes. @en
vartrans - Lexicon Model for Ontologies - Vartrans
http://www.w3.org/ns/lemon/vartrans

A model for the representation of lexical information relative to ontologies. Variation and translation module. @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
vdpp - Vocabulary for Dataset Publication Projects
http://data.lirmm.fr/ontologies/vdpp

The Vocabulary of Dataset Publication Projects (VDPP) allows to represent the status of a dataset publication project. It is mainly based on the Provenance Vocabulary (PRV), the Dataset Provenance Vocabulary (VOIDP), the Vocabulary of Interlinked Datasets (VoID), and the Description of a Project (DOAP) vocabulary. @en
veo - Vehicle Emissions Ontology
http://linkeddata.finki.ukim.mk/lod/ontology/veo#

An ontology for describing vehicles and their emissions. @en
vgo - The Video Game Ontology
http://purl.org/net/VideoGameOntology

The Video Game Ontology is an ontology designed for describing video games and all the resources related to their game plays. @en

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Selected vocabularies

Patterns?:	type name both
Flatten?:	yes no

Type

vocabulary (898)
property/class >
agent >

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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)