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

162

results

How to

odv - Organogram Data Vocabulary
http://reference.data.gov.uk/def/organogram

Extension of data cube for civil service junior posts @en
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
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
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
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
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
cogs - COGS Vocabulary
http://vocab.deri.ie/cogs

Vocabulary for describing ETL and data transformation activities. @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

1...3 456 7...11

Selected vocabularies

Patterns?:	type name both
Flatten?:	yes no

Type

vocabulary (162)
property/class >
agent >

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English (117)
en (7)
German (5)
French (3)
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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)