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

smg - CERISE CIM Profile for Smart Grids
http://ns.cerise-project.nl/energy/def/cim-smartgrid

A Profile of the IEC Common Information Model for Smart Grids, developed by the Cerise-SG project. @en
acco - Accomodation Ontology
http://purl.org/acco/ns

A vocabulary for the description of hotels, vacation homes, camping sites, and other accommodation offers for e-commerce @en
inno - Ontology for Innovation
http://purl.org/innovation/ns

One key use case for this ontology is to facilitate the matching of needs and innovations. @en
gr - The GoodRelations Ontology for Semantic Web-based E-Commerce
http://purl.org/goodrelations/v1

The GoodRelations ontology provides the vocabulary for annotating e-commerce offerings (1) to sell, lease, repair, dispose, or maintain commodity products and (2) to provide commodity services. @en
uco - Used Cars Ontology
http://purl.org/uco/ns#

A Web vocabulary for describing aspects of used cars for e-commerce. @en
tio - The Tickets Ontology
http://purl.org/tio/ns#

A vocabulary for describing tickets for events, transportation, or points of interest for e-commerce. @en
vso - Vehicle Sales Ontology
http://purl.org/vso/ns

The Vehicle Sales Ontology for Semantic Web-based E-Commerce @en
vvo - Volkswagen Vehicles Ontology
http://purl.org/vvo/ns#

A vocabulary for describing Volkswagen-specific features of automobiles and their components @en
bevon - BEVON: Beverage Ontology
http://rdfs.co/bevon/

Beverage Ontology is a Web vocabulary for describing beverages, mainly alcoholic. @en
dqc - The Data Quality Constraints Library
http://semwebquality.org/ontologies/dq-constraints

This RDF document contains a library of data quality constraints represented as SPARQL query templates based on the SPARQL Inferencing Framework (SPIN). The data quality constraint templates are especially useful for the identification of data quality problems during data entry and for periodic quality checks during data usage. @en
dfc-b - DFC Business Ontology
http://static.datafoodconsortium.org/ontologies/DFC_BusinessOntology.owl

DFC Business Ontology @en
dfc - Data Food Consortium Ontology
http://static.datafoodconsortium.org/ontologies/DFC_FullModel.owl

A common vocabulary for digital food platforms @en
dfc-p - A common vocabulary for digital food platforms (Product Glossary Part)
http://static.datafoodconsortium.org/ontologies/DFC_ProductGlossary.owl

A common vocabulary for digital food platforms (Product Glossary Part) @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
hto - Haystack Tagging Ontology
http://vcharpenay.github.io/hto/hto.xml

The Haystack Tagging Ontology is an OWL ontology for Project Haystack, a domain vocabulary for Building Automation Systems. @en

123 4...7

Selected vocabularies

Patterns?:	type name both
Flatten?:	yes no

Type

vocabulary (98)
property/class >
agent >

Language

English (75)
French (10)
Spanish (9)
German (8)
Italian (4)
Dutch (3)
Bulgarian (2)
Czech (2)
Finnish (2)
Irish (2)
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)