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

101

results

How to

iot-lite - Iot-lite ontology
http://purl.oclc.org/NET/UNIS/fiware/iot-lite#

iot-lite is a lightweight ontology based on SSN to describe Internet of Things (IoT) concepts and relationships. @en
ctorg - Vocabulary for the structure of the public organizations
http://purl.org/ctic/infraestructuras/organizacion

The goal of this vocabulary is to create a scheme to define the contents of information related to the government structure and public centers. @en
elec - Vocabulary for Vote Results
http://purl.org/ctic/sector-publico/elecciones

The objective of this vocabulary is to describe the vote process and results. @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
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
posocm - Positioning System Ontology Common Technologies, Algorithms and Systems
http://purl.org/poso/common/

This ontology provides the terminologies used for positioning systems. @en
poso - Positioning System Ontology
http://purl.org/poso/

This ontology provides the terminologies used for positioning systems. @en
cbs - Netherlands' National Statistics Office (CBS) ontology
http://betalinkeddata.cbs.nl/def/cbs

Vocabulary for datasets from the Netherlands' National Statistics Office @en
osgeom - Ordnance Survey Geometry Ontology
http://data.ordnancesurvey.co.uk/ontology/geometry/

A provisional small geometry vocabulary used by Ordnance Survey vocabularies and datasets. Likely to change when some standard way of representing geometries in RDF is agreed. @en
osspr - Spatial Relations Ontology
http://data.ordnancesurvey.co.uk/ontology/spatialrelations/

An ontology describing basic spatial relations. @en
ext - OWL representation of ISO 19115 (Geographic Information - Metadata - Extent package)
http://def.seegrid.csiro.au/isotc211/iso19115/2003/extent

An OWL representation of parts of the Geographic Metadata model described in ISO 19115:2003 with Corrigendum 2006 - EX Package @en
fiesta-priv - FIESTA-Priv Ontology
http://purl.org/iot/ontology/fiesta-priv#

FIESTA-Priv Ontology @en
iottaxolite - The IoTTaxonomy-lite Taxonomy
http://purl.org/iot/vocab/iot-taxonomy-lite#

The IoT-Taxonomy-lite is adapted from M3-lite taxonomy. This taxonomy is refactored and defines many other concepts such as subclasses of Feature-of-Interest and Quality-of-Observation. @en
fiesta-iot - FIESTA-IoT Ontology
http://purl.org/iot/ontology/fiesta-iot

The FIESTA-IoT ontology takes inspiration from the well-known Noy et al. methodology for reusing and interconnecting existing ontologies. To build the ontology, we leverage a number of core concepts from various mainstream ontologies and taxonomies, such as Semantic Sensor Network (SSN), M3-lite (a lite version of M3 ontology), WGS84, IoT-lite, Time, and DUL ontology. @en

123 4...7

Selected vocabularies

Patterns?:	type name both
Flatten?:	yes no

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English (75)
Spanish (8)
French (6)
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Chinese (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)