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

124

results

How to

odrs - Open Data Rights Statement Vocabulary
http://schema.theodi.org/odrs

A vocabulary that supports the publication of Open Data by providing the means to capture machine-readable "rights statements", e.g. the licensing information, copyright notices and attribution requirements that are associated with the publication and re-use of a dataset. @en
odapps - The vocabulary for (L)OD ideas and applications
http://semweb.mmlab.be/ns/odapps

odapps is an RDF vocabulary defined to facilitate the description of Open-Data-based ideas and applications published on the Web. @en
dqc - The Data Quality Constraints Library
http://semwebquality.org/ontologies/dq-constraints

This RDF document contains a library of data quality constraints represented as SPARQL query templates based on the SPARQL Inferencing Framework (SPIN). The data quality constraint templates are especially useful for the identification of data quality problems during data entry and for periodic quality checks during data usage. @en
apps4X - The vocabulary for Co-creation Events based on Open Data
http://semweb.mmlab.be/ns/apps4X

apps4X is an RDF vocabulary defined to facilitate the description of Open-Data-based Co-creation events @en
rsctx - Recommender System Context
http://softeng.polito.it/rsctx

This ontology represent context which may be interesting in providing recommendations to users. @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
sp - SPIN SPARQL Syntax
http://spinrdf.org/sp

An RDF Schema to syntactically represent SPARQL queries (including SPARQL UPDATE) as RDF triples. @en
voag - Vocabulary Of Attribution and Governance
http://voag.linkedmodel.org/schema/voag

VOAG is intended to specify licensing, attribution, provenance and governance of an ontology. @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
odapp - Open Data Applications Vocabulary
http://vocab.deri.ie/odapp

This is an early version of a vocabulary to describe "open data applications" i.e. applications built using open data. Examples of such applications are listed on government open data catalogues and participant on open data competitions. @en
ppo - Privacy Preference Ontology
http://vocab.deri.ie/ppo

An ontology to create privacy preferences for Linked Data @en
raul - RAUL Vocabulary
http://vocab.deri.ie/raul

A vocabulary to describe Web form widgets. Strongly aligned with the meta model of HTML Web forms. A RESTful service that can render HTML Web forms from RaUL models can be found at: http://w3c.org.au/raul @en
search - Sindice Search Vocabulary
http://vocab.deri.ie/search

A vocabulary for ranked search results, for use in the Sindice API. @en
tao - Trust Assertion Ontology
http://vocab.deri.ie/tao

TAO is a light-weight vocabulary to describe asserted user’s subjective trust values. @en
dady - Dataset Dynamics (dady) vocabulary
http://vocab.deri.ie/dady

A vocabulary that allows for coarse-grained descriptions of the data-source dynamics as well as the discovery of change notification mechanism(s). @en

1 2 345 6...9

Selected vocabularies

Patterns?:	type name both
Flatten?:	yes no

Type

vocabulary (124)
property/class >
agent >

Language

English (85)
en (6)
French (3)
German (2)
Czech (1)

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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)