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

203

results

How to

rdag3 - RDA Group 3 Elements
http://rdvocab.info/ElementsGr3

This group of RDA elements defines preferred and variant names for concepts, places and events @en
rdarel - RDA Relationships for Works, Expressions, Manifestations, Items
http://rdvocab.info/RDARelationshipsWEMI

A vocabulary defining a large variety of specific relationships between the various levels of the FRBR pile. @en
isoadr - ISO19160-1:2015 Address ontology
http://reference.data.gov.au/def/ont/iso19160-1-address

This ontology is a version of the ISO TC211, Group for Ontology Management (GOM)'s OWL ontology interpretation of the ISO19160-1:2015 "Addressing -- Part 1: Conceptual model" standard (see https://www.iso.org/standard/61710.html) taken from that ontology's source code, published at https://github.com/ISO-TC211/GOM/tree/master/isotc211_GOM_harmonizedOntology/19160-1/2015. @en
rdag1 - RDA Group 1 Elements
http://rdvocab.info/Elements

This is the provisional registration of the RDA Group 1 Element Vocabulary, managed by the DCMI/RDA Task Group. @en
rdag2 - RDA Group 2 Elements
http://rdvocab.info/ElementsGr2

The second group of metadata elements defined by RDA @en
ac - Core terms defined by Audubon Core
http://rs.tdwg.org/ac/terms/

This term list includes all currently valid terms that have been defined in the core Audubon Core namespace ac:. @en
sao - SALT Annotation Ontology
http://salt.semanticauthoring.org/ontologies/sao

The SALT Annotation Ontology represents the connection layer between the rhetorical and argumentation and the document structure and content @en
odv - Organogram Data Vocabulary
http://reference.data.gov.uk/def/organogram

Extension of data cube for civil service junior posts @en
mdr - The Semantic Turkey metadata registry ontology
http://semanticturkey.uniroma2.it/ns/mdr

An application profile of DCAT combining it with other metadata vocabularies (e.g. VoID, DCTERMS, LIME) to meet requirements elicited in various use cases of the Semantic Web platform Semantic Turkey @en
spt - SPITFIRE Ontology
http://spitfire-project.eu/ontology/ns

TheSPITFIRE Ontology (spt) is based on the alignment among Dolce+DnS Ultralite(dul), the W3C Semantic Sensor Network ontology (ssn) and the Event Model-F ontology (event). @en
dfc-p - A common vocabulary for digital food platforms (Product Glossary Part)
http://static.datafoodconsortium.org/ontologies/DFC_ProductGlossary.owl

A common vocabulary for digital food platforms (Product Glossary Part) @en
frappe - FraPPE: Frame, Pixel, Place, Event vocabulary
http://streamreasoning.org/ontologies/frappe#

FraPPE is a vocabulary to enable Visual Analytics operations on geo-spatial time varying data. By enabling Visual Analytics instruments FraPPE ease the capture, correlation and comparison operations on geo-spatial data from different sources evolving over time @en
orca - orca, the Ontology of Reasoning, Certainty and Attribution
http://vocab.deri.ie/orca

orca, the Ontology of Reasoning, Certainty and Attribution, is an ontology for characterizing the certainty of information, how it is known, and its source @en
rooms - Buildings and Rooms Vocabulary
http://vocab.deri.ie/rooms

A simple vocabulary for describing the rooms in a building. @en
scovo - The Statistical Core Vocabulary
http://vocab.deri.ie/scovo

A vocabulary for representing statistical data on the Web. Note :The SCOVO vocabulary is deprecated. We strongly advise to use the Data Cube Vocabulary instead. @en

1...5 678 9...14

Selected vocabularies

Patterns?:	type name both
Flatten?:	yes no

Type

vocabulary (203)
property/class >
agent >

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French (17)
German (9)
Portuguese (6)
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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)