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

197

results

How to

juso - Juso Ontology
http://rdfs.co/juso/

Juso Ontology is a Web vocabulary for describing geographical addresses and features. @en
juso.kr - South Korea Extension to Juso Ontology
http://rdfs.co/juso/kr/

South Korea Extension to Juso Ontology is a Web vocabulary that extends Juso Ontology to describe geographical addresses and features in South Korea. @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
odv - Organogram Data Vocabulary
http://reference.data.gov.uk/def/organogram

Extension of data cube for civil service junior posts @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
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
hto - Haystack Tagging Ontology
http://vcharpenay.github.io/hto/hto.xml

The Haystack Tagging Ontology is an OWL ontology for Project Haystack, a domain vocabulary for Building Automation Systems. @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
csp - Constraint Satisfaction Problems Vocabulary
http://vocab.deri.ie/csp

A vocabulary to represent Constraint Satisfaction Problems (CSPs) in which constraints are expressed by Boolean expressions on fluents. @en
incident - Vocabulary to describe incident response by emergency services
http://vocab.resc.info/incident

Vocabulary to describe the response to a incident by emergency services. This is NOT intended to describe the incident itself, it describes the response @en
vrank - Vocabulary for Ranking
http://vocab.sti2.at/vrank

The Vocabulary for Ranking (vRank) is an RDF Schema vocabulary for materializing ranking computations. @en
geod - Administrative vocabulary for Norway
http://vocab.lenka.no/geo-deling

Vocabulary describing the administrative subdivision of Norway @en
ceon-cvn - Circular Economy Ontology Network (CEON) - Circular Value Network Module
http://w3id.org/CEON/ontology/cvn/

A core module of the CEON ontology network, defining aspects of the circular value network (CVN) itself. @en
ceon-material - Circular Economy Ontology Network (CEON) - Material Module
http://w3id.org/CEON/ontology/material/

The Material module of CEON (Circular Economy Ontology Network). @en

1...4 567 8...14

Selected vocabularies

Patterns?:	type name both
Flatten?:	yes no

Type

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French (18)
German (12)
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Portuguese (7)
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Italian (5)
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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)