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

919

results

How to

dave - Data Value Vocabulary (DaVe)
http://theme-e.adaptcentre.ie/dave/dave.ttl

The Data Value Vocabulary (DaVe) is an extensible core vocabulary that allows user to use custom data value dimensions and metrics to characterise data value in a specific context. This flexibility allows for the comprehensive modelling of data value. As a data value model, DaVe allows users to monitor data value as it occurs within a data exploitation or value creation process (data value chain) @en
tp - Tourpedia Ontology
http://tour-pedia.org/download/tp.owl

A vocabulary to describe touristic places: accommodations, points of interest, restaurants and attractions. @en
umbel - Upper Mapping and Binding Exchange Layer
http://umbel.org/umbel

UMBEL provides a general vocabulary of classes and predicates for describing domain ontologies, with the specific aim of promoting interoperability with external datasets and domains. @en
taxref-ld - TAXREF-LD Ontology
http://taxref.mnhn.fr/lod/taxref-ld

Representation of the TAXREF taxonomic register as linked data. This resource is at the same time an ontology of classes depicting the taxa and a thesaurus (SKOS concept scheme) of the scientific names attached to the taxa. @en
bot - BotDCAT-AP - Data Catalogue vocabulary Application Profile for chatbots
http://swa.cefriel.it/ontologies/botdcat-ap

A vocabulary to describe data sources in a way they can be easily reused and accessed by chatbots. @en
swrc - Semantic Web for Research Communities
http://swrc.ontoware.org/ontology-07

An ontology for modeling entities of research communities such as persons, organisations, publications (bibliographic metadata) and their relationship @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
spin - SPIN Inferencing Vocabulary
http://spinrdf.org/spin

An RDF Schema that can be used to attach constraints and rules to RDFS classes, and to encapsulate reusable SPARQL queries into functions and templates. @en
uri4uri - URI Vocabulary
http://uri4uri.net/vocab

This vocabulary describes the entities which may be derived from a URI and the relationships between them, such as Internet Domains, prototcols, file suffixes etc. It was initially issued as part of an April 1st gag, but has utility beyond the initial joke. @en
sp - SPIN SPARQL Syntax
http://spinrdf.org/sp

An RDF Schema to syntactically represent SPARQL queries (including SPARQL UPDATE) as RDF triples. @en
fea - Federal Enterprise Architecture Vocabulary
http://vocab.data.gov/def/fea

To facilitate efforts to transform the Federal Government to one that is citizen-centered, results-oriented, and market-based, the Office of Management and Budget (OMB) is developing the Federal Enterprise Architecture (FEA), a business-based framework for Governmentwide improvement. @en
gd - Government Data Vocabulary
http://vocab.data.gov/gd

A RDF Schema that defines concepts and relationships common to all Open Government Data @en
hosp - Hospital Vocabulary
http://vocab.data.gov/hosp

A RDF Schema that defines concepts and relationships used for Hospital data. @en
doap - Description of a Project vocabulary
http://usefulinc.com/ns/doap#

The Description of a Project (DOAP) vocabulary, described using W3C RDF Schema and the Web Ontology Language. @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

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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)