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

924

results

How to

km4c - km4city, the DISIT Knowledge Model for City and Mobility
http://www.disit.org/km4city/schema

A Knowledge Model to describe a smart city, that interconnect data from infomobility service, Open Data and other source @en
ebucore - EBU Ontology
http://www.ebu.ch/metadata/ontologies/ebucore/ebucore

Combined with the EBU Class Conceptual Data Model (CCDM) of simple business objects, EBUCore provides the appropriate framework for descriptive and technical metadata for use in Service Oriented Architectures and also in audiovisual ontologies for semantic web and linked data developments. @en
ctxdesc - Context Descriptor Pattern
http://www.demcare.eu/ontologies/contextdescriptor.owl

OWL pattern for describing activity models as abstract dependencies among classes. @en
sport - BBC Sport Ontology
http://www.bbc.co.uk/ontologies/sport

A simple ontology for representing competitive sports events. @en
pattern - The Pattern Ontology
http://www.essepuntato.it/2008/12/pattern

An ontology defining formally patterns for segmenting a document into atomic components, in order to be manipulated independently and re-flowed in different contexts. @en
tvc - The Time-indexed Value in Context
http://www.essepuntato.it/2012/04/tvc

A pattern for the description of scenarios that involve entities having some value during a particular time and within a particular context. @en
citof - Functions of Citations
http://www.essepuntato.it/2013/03/cito-functions

CiTOFunctions is an ontology that provides a classification for citations. In particular, it classifies CiTO properties (each defining a particular citational act) @en
marl - Marl Ontology Specification
http://www.gsi.dit.upm.es/ontologies/marl/ns

Marl is a standardised data schema designed to annotate and describe subjective opinions expressed on the web or in particular Information Systems. @en
onyx - Onyx Emotion Ontology
http://www.gsi.dit.upm.es/ontologies/onyx/ns

Onyx is a vovabulary designed designed to annotate and describe the emotions expressed by user-generated content on the web or in particular Information Systems. @en
vag - The Vagueness Ontology
http://www.essepuntato.it/2013/10/vagueness

The Vagueness Ontology (VO) allows one to specify vagueness characterisations of the TBox entities of an ontology. @en
cerif - CERIF Ontology 1.3
http://www.eurocris.org/ontologies/cerif/1.3

The Common European Research Information Format (CERIF) Ontology Specification provides basic concepts and properties for describing research information as semantic data. @en
tag - Tag ontology
http://www.holygoat.co.uk/owl/redwood/0.1/tags/

An ontology that let users define relationships between Tag objects and URIs of Semantic Web resources @en
mtlo - MarineTLO Ontology
http://www.ics.forth.gr/isl/MarineTLO/v4/marinetlo.owl

MarineTLO is a top-level ontology for the marine domain (also applicable to the terrestrial domain). @en
edm - Europeana Data Model vocabulary
http://www.europeana.eu/schemas/edm/

The Europeana Data Model (EDM) is aimed at being an integration medium for collecting, connecting and enriching the descriptions provided by Europeana data providers. @en
voidwh - Void Warehouse Ontology
http://www.ics.forth.gr/isl/VoIDWarehouse/VoID_Extension_Schema.owl

An extension of W3C VoID that is able to represent these metrics for expressing the Connectivity Metrics of a Semantic Warehouse. @en

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Selected vocabularies

Patterns?:	type name both
Flatten?:	yes no

Type

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agent >

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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)