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

161

results

How to

itsmo - IT Service Management Ontology
http://ontology.it/itsmo/v1

IT Service Management Ontology (ITSMO) provides the vocabulary for annotating resources related to IT Service Management. ITSMO tries to be consistent with 2011 ITIL glossary. @en
omn - Open-Multinet Upper Ontology
http://open-multinet.info/ontology/omn

This ontology defines the most abstract concepts and properties that are needed to semantically manage resource within federated infrastructures @en
lslife - ELSEWeb Lifemapper Ontology
http://ontology.cybershare.utep.edu/ELSEWeb/elseweb-lifemapper.owl

The ELSEWeb Lifemapper ontology provides classes for describing biodiversity modelling services provided by Lifemapper. This project provides support for the ELSEWeb project(http://elseweb.cybershare.utep.edu/). website: http://elseweb.cybershare.utep.edu/ontologies email: nvillanuevarosales@utep.edu @en
lswmo - ELSEWeb Modelling Ontology
http://ontology.cybershare.utep.edu/ELSEWeb/elseweb-modelling.owl

The ELSEWeb Modelling ontology provides simple classes for describing data models. 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
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
m3lite - The Machine-to-Machine Measurement (M3) Lite Ontology
http://purl.org/iot/vocab/m3-lite#

M3 lite taxonomy is designed for the FIESTA-IOT H2020 EU project. We refactor, clean and simplify the M3 ontology designed by Eurecom (Amelie Gyrard). M3 ontology lite is currently aligned with the quantity taxonomy used by several testbeds: SmartSantander (Spain), University of Surrey (United Kingdom), KETI (Korea) and Com4Innov (France). @en
docso - Document Service Ontology
http://purl.org/ontology/dso

A micro-ontology that defines a set of typical document-related services such as provided by libraries, museums and archives. @en
dvia - The visualization vocabulary for LOD applications
http://purl.org/ontology/dvia

dvia is an RDF vocabulary designed to facilitate interoperability between visualization applications published on the Web. @en
is - Info Service Ontology
http://purl.org/ontology/is/core#

The Information Service Ontology specification provides basic concepts and properties for describing different information services, e.g. Wikipedia, MusicBrainz, Freebase @en
rss - Vocabulary for Rich Site Summary (RSS) 1.0
http://purl.org/rss/1.0

RDF Schema declaration for Rich Site Summary (RSS) 1.0 @en
summa - SUMMA Vocabulary
http://purl.org/voc/summa/

The SUMMA Vocabulary enables to request and represent summarized RDf resources. It should be used in context to the SUMMA API definition. @en
toco - Toucan Ontology
http://purl.org/toco/

A ontology developed for telecommunciation network systems with hybrid technologies, e.g., WiFi, LiFi, LTE, 2G/3G, optical, etc. @en
xapi - xAPI Controlled Vocabulary Ontology
http://purl.org/xapi/ontology#

This ontology contains a list of the classes and properties that can be used when for creating and publishing a controlled vocabulary dataset for xAPI communities of practice. @en
vvo - Volkswagen Vehicles Ontology
http://purl.org/vvo/ns#

A vocabulary for describing Volkswagen-specific features of automobiles and their components @en
snarm - Simple Network Access Rights Management Ontology
http://rdf.myexperiment.org/ontologies/snarm/

This ontology is designed for representing access rights within a simple network of associated users/groups @en

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Selected vocabularies

Patterns?:	type name both
Flatten?:	yes no

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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)