Linked Open Vocabularies

Vocabs
Terms
Agents
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

infor - Information Realization
http://www.ontologydesignpatterns.org/cp/owl/informationrealization.owl

Allows designers to model information objects and their realizations. This allows to reason about physical objects and the information they realize, by keeping them distinguished. @en
odpart - Ontology Design Pattern Participation
http://www.ontologydesignpatterns.org/cp/owl/participation.owl

The basic participation pattern, without temporal indexing. It clones equivalent elements from DOLCE-UltraLite. @en
hdo - HelpDesk support Ontology
http://www.samos.gr/ontologies/helpdeskOnto.owl

Simple ontology developed for integration purposes. Describe helpdesk entities used to record support tickets for diagnosis and resolve purpuses. The ontology re-uses a) W3C ORG and REGORG ontologies, b) DUL upper ontology, and c) GoodRelations ontology. @en
gso - Generic Specific Ontology
http://www.w3.org/2006/gen/ont

Ontology for Relating Generic and Specific Information Resources @en
common - The Delivery Context Ontology
http://www.w3.org/2007/uwa/context/deliverycontext.owl

The Delivery Context Ontology models the knowledge of the environment in which devices interact with the Web or other services @en
lexdcp - Lexicon Model for Ontologies - Decomp
http://www.w3.org/ns/lemon/decomp

A model for the representation of lexical information relative to ontologies. Decomposition module. @en
lime - Lexicon Model for Ontologies - LIngusitic MEtadata (LIME)
http://www.w3.org/ns/lemon/lime

LIME (LInguistic MEtadata) is a vocabulary for expressing linguistic metadata about linguistic resources and linguistically grounded datasets. @en
mls - Machine Learning Schema
http://www.w3.org/ns/mls

ML-Schema is a collaborative, community effort with a mission to develop, maintain, and promote standard schemas for data mining and machine learning algorithms, datasets, and experiments @en
ontolex - Lexicon Model for Ontologies - Core
http://www.w3.org/ns/lemon/ontolex

A model for the representation of lexical information relative to ontologies. Core module. @en
synsem - Lexicon Model for Ontologies - Synsem
http://www.w3.org/ns/lemon/synsem

A model for the representation of lexical information relative to ontologies. Syntax and semantics module. @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
oso - Observatories of the Seas Ontology (OSO)
http://www.w3.org/ns/prov-o

Ontology describing the relationships between Regional Facilities, Sites, Platforms, Research Infrastructures, Organisations, Cruises, and the persons in charge of each level. @en
ui - A user interface ontology
http://www.w3.org/ns/ui

An ontology suitable for describing forms, sequences in widgets @en
decision - Decision ontology
https://decision-ontology.googlecode.com/svn/trunk/decision.owl

Decision-making is a process that can result in some decision and decision is a situation of indicating one of the considered options. Decision Ontology provides means for precise distinguishing and distinct treatment of these two aspects. @en
tax - EUTaxO - EUdaphobase Taxonomy Ontology
https://w3id.org/EUTaxO

EUdaphobase Taxonomy Ontology for the European Soil-Biology Data Warehouse for Soil Protection @en

1 2 345

Selected vocabularies

Patterns?:	type name both
Flatten?:	yes no

Type

vocabulary (75)
property/class >
agent >

Language

English (60)
French (10)
Spanish (8)
German (7)
Italian (7)
Portuguese (7)
Russian (7)
Romanian (6)
Afrikaans (5)
Dutch (5)
show more...

: Linked Open Vocabularies

Documentation

About
API documentation
Contact

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)