Linked Open Vocabularies

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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

166

results

How to

lsq - The Linked SPARQL Queries Vocabulary (LSQ(V))
http://lsq.aksw.org/vocab

The Linked SPARQL Queries Vocabulary (LSQ(V)), defined using RDF(S) and OWL, provides a machine readable vocabulary to help describe queries in SPARQL logs and their statistics. The vocabulary builds upon the SPIN vocabulary and the Service Description vocabulary. @en
loted - LOTED ontology
http://loted.eu/ontology

A vocabulary for European Calls for Tenders (in english, german, and french) @en
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
dcndl - NDL Metadata Terms
http://ndl.go.jp/dcndl/terms/

RDF Schema declaration for Japan NDL Metadata Terms @en
lsweb - ELSEWeb Data Ontology
http://ontology.cybershare.utep.edu/ELSEWeb/elseweb-data.owl

The ELSEWeb Data ontology provides simple classes for describing datasets. This project provides foundational support for the ELSEWeb project(http://elseweb.cybershare.utep.edu/). website: http://elseweb.cybershare.utep.edu/ontologies email: nvillanuevarosales@utep.edu @en
munc - Meta-Uncertainty
http://ns.inria.fr/munc/

An OWL vocabulary for describing uncertainty metadata. @en
dm2e - DM2E model
http://onto.dm2e.eu/schemas/dm2e

The DM2E model is a specialisation of the Europeana Data Model (EDM) and can be used for the description of manuscripts in the cultural heritage domain. @en
omnfed - Open-Multinet Upper Federation Ontology
http://open-multinet.info/ontology/omn-federation

This ontology defines concepts related to federation of internet infrastructures. @en
agr - Agreements ontology
http://promsns.org/def/agr

This Agreements Ontology is designed to model 'agreements' which are social contracts that include licenses, laws, contracts, Memoranda of Understanding, standards and definitional metadata. Its purpose is to support data sharing by making explicit the relationships between agreements and data and agreements and Agents (people and organisations). Eventually it will also help with the interplay between different classes of agreements. @en
ldr - Linked Data Rights (LDR)
http://purl.oclc.org/NET/ldr/ns#

The Linked Data Rights ontology provides the vocabulary for creating rights expressions for Linked Data resources. @en
of - Open Fridge vocabulary
http://owlrep.eu01.aws.af.cm/fridge

Ontology for Open Fridge project @en
limoo - License Model Ontology
http://purl.org/LiMo/0.1#

A vocabulary to describe licenses @en
dce - Dublin Core Metadata Element Set
http://purl.org/dc/elements/1.1/

The Dublin Core Metadata Element Set is a vocabulary of fifteen properties for use in resource description. The name "Dublin" is due to its origin at a 1995 invitational workshop in Dublin, Ohio; "core" because its elements are broad and generic, usable for describing a wide range of resources. @en
coo - Car Options Ontology
http://purl.org/coo/ns#

The COO provides a vocabulary for exposing available configuration options for car models. It allows indicating choices that can be made as well as compatibility, dependency, and inclusion information. The ontology imports and extends the GoodRelations ontology for e-commerce @en
dcterms - DCMI Metadata Terms
http://purl.org/dc/terms/

an up-to-date specification of all metadata terms maintained by the Dublin Core Metadata Initiative, including properties, vocabulary encoding schemes, syntax encoding schemes, and classes. @en

123 4...12

Selected vocabularies

Patterns?:	type name both
Flatten?:	yes no

Type

vocabulary (166)
property/class >
agent >

Language

English (135)
German (12)
French (9)
Spanish (9)
Italian (4)
Czech (2)
Dutch (2)
Japanese (2)
en (2)
Catalan (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)