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

172

results

How to

limoo - License Model Ontology
http://purl.org/LiMo/0.1#

A vocabulary to describe licenses @en
loc - Location Vocabulary
http://purl.org/ctic/infraestructuras/localizacion

This vocabulary is used to describe the physical location of public places. @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
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
coreo - Core-o: Competence Reference Ontology
http://purl.org/coreo

An ontology to describe competences and human capabilities @en
ru - Representational Units Metadata Ontology
http://purl.org/imbi/ru-meta.owl

Draft for a recommendation for metadata on Representational Units (RU) which appear in ontologies. It is so far harmonized for implementation through owl annotation properties. @en
holy - Hydrogen Ontology
http://purl.org/holy/ns#

This is the Hydrogen Ontology (HOLY). HOLY is a domain ontology for describing the complex structure of hydrogen-based markets. HOLY contributes to the systemic modeling of the hydrogen domain with a focus on its value chain. Hence, it provides a foundation for retrieval, storage, and delivery of market insights. @en
ont - Ontology annotation DLiser vocabulary
http://purl.org/net/ns/ontology-annot

Vocabulary to define some annotation properties as subproperties of common Dublin Core terms @en
ex - Example vocabulary
http://purl.org/net/ns/ex

Vocabulary to include sample codes in a schema. Can work with XSLT (http://purl.org/net/ns/ns-schema.xsl) to present schema as XHTML list with examples. @en
tsnc - Territorial Statistical Nomenclature Change Ontology
http://purl.org/net/tsnchange#

The TSN-Change ontology aims at describing changes that occured from one version of a Territorial Statistical Nomenclature (TSN) (i.e., partition of the territory) and its subsequent (e.g., change in territorial units boundaries to reflect an administrative reorganisation). @en
cart - cartCoordOnt
http://purl.org/net/cartCoord#

Ontology for representation of cartesian co-ordinates @en
tsn - Territorial Statistical Nomenclature Ontology
http://purl.org/net/tsn#

This RDF ontology allows describing any Territorial Statistical Nomenclature (TSN) (i.e., partition of the territory) used as a support to socio-economic data (statistical data that describe territory in terms of population, unemployement rate, transport access, etc.). @en
step - Semantic Trajectory Episodes
http://purl.org/net/step

A lightweight ontology for representing semantic trajectories and contextual elements in terms of features of interests and episodes. @en
place - The Places Ontology
http://purl.org/ontology/places

The Places Ontology is a simple lightweight ontology for describing places of geographic interest. @en
voidext - Extended Vocabulary of Interlinked Datasets (VoIDext)
http://purl.org/query/voidext

The Extension of the Vocabulary of Interlinked Datasets (VoID) RDF Schema that includes the concept of virtual links. This extension enhances interoperability among heterogeneous and distributed RDF data sets by bridging them through explicitly defined virtual links. @en

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Selected vocabularies

Patterns?:	type name both
Flatten?:	yes no

Type

vocabulary (172)
property/class >
agent >

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English (130)
French (15)
German (7)
Italian (7)
Spanish (7)
Dutch (5)
Chinese (4)
Japanese (4)
Korean (4)
Portuguese (3)
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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)