Linked Open Vocabularies

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Terms
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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

122

results

How to

sim - The Similarity Ontology
http://purl.org/ontology/similarity/

An ontology to describe associations between things. Although this ontology was designed with music similarity in mind, it can readily be applied to other domains. @en
ssso - Simple Service Status Ontology
http://purl.org/ontology/ssso

An event-based RDF ontology for typical status in fulfillment of a service @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
pc - Public Contracts Ontology
http://purl.org/procurement/public-contracts

Public Contracts Ontology offers a means of expression for describing public contracts in the public sector @en
olo - Ordered List Ontology
http://purl.org/ontology/olo/core#

The Ordered List Ontology Specification provides basic concepts and properties for describing ordered lists as semantic graphs. @en
eli - The European Legislation Identifier
http://data.europa.eu/eli/ontology

Transposition of the ELI metadata fields into an OWL ontology @en
pni - SNaP Identifier Ontology
http://data.press.net/ontology/identifier/

The Identifier Ontology models non-RDF based Identifiers for resources. It is used to maintain a mapping between RDF resources identifiers and their equivalent IDs in an alternate, non-RDF based domain. @en
li - OWL representation of ISO 19115 (Geographic Information - Metadata - Lineage package)
http://def.seegrid.csiro.au/isotc211/iso19115/2003/lineage

An OWL representation of parts of the Geographic Metadata model described in ISO 19115:2003 with Corrigendum 2006 - LI Package @en
kgc - KGRC Ontology
http://kgc.knowledge-graph.jp/ontology/kgc.owl

This vocabulary set can represent 5W1H (Who, What, When, Where, Why, How) in event (scene) descriptions. This file is also provided in Knowledge Graph Reasoning Challenge. @en
lsq - The Linked SPARQL Queries Vocabulary (LSQ(V))
http://lsq.aksw.org/vocab

The Linked SPARQL Queries Vocabulary (LSQ(V)), defined using RDF(S) and OWL, provides a machine readable vocabulary to help describe queries in SPARQL logs and their statistics. The vocabulary builds upon the SPIN vocabulary and the Service Description vocabulary. @en
loted - LOTED ontology
http://loted.eu/ontology

A vocabulary for European Calls for Tenders (in english, german, and french) @en
lsmap - ELSEWeb Mappings Ontology
http://ontology.cybershare.utep.edu/ELSEWeb/mappings/elseweb-mappings.owl

The ELSEWeb mappings ontology imports related upper level ontologies and vocabularies and aligns ELSEWeb ontologies to importec classes. This ontology provides support for the ELSEWeb project(http://elseweb.cybershare.utep.edu/). website: http://elseweb.cybershare.utep.edu/ontologies email: nvillanuevarosales@utep.edu @en
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

123 4...9

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)