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

results

How to

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
tao - Trust Assertion Ontology
http://vocab.deri.ie/tao

TAO is a light-weight vocabulary to describe asserted user’s subjective trust values. @en
gvp - Getty Vocabulary Program ontology
http://vocab.getty.edu/ontology

The GVP Ontology defines classes, properties and values (skos:Concepts) used in GVP LOD. It is complete regarding AAT and TGN (as of version 2.0), and will be extended in time with more elements needed for the other GVP vocabularies (ULAN, CONA). @en
rml-fnml - RML-FNML
http://w3id.org/rml/fnml/

RML-FNML provides data transformations for generating knowledge graphs from (semi-)structured data @en
rml-io - RML-IO: Source and Target
http://w3id.org/rml/io/

RML-IO enables the description of input data sources and target output data serialization @en
rml-star - RML-star
http://w3id.org/rml/star/

RML module for generating RDF-star graphs @en
rml-cc - RML-Containers
http://w3id.org/rml/cc/

RML module to generate RDF collections and containers @en
rml - RML: Generic Mapping Language for RDF
http://w3id.org/rml/core

Generic Mapping Language for RDF (RDB/CSV/TSV/XML/JSON/... to RDF) - Vocabulary description @en
fel - A Fine-grained Entity Linking vocabulary
http://w3id.org/vcb/fel#

This RDF vocabulary can be use to describe and categorize annotations involving entity mentions (sub-strings of text) that link to knowledgebase identifiers @en
dk - The Data Knowledge Vocabulary
http://www.data-knowledge.org/dk/

The Data Knowledge Vocabulary allows for a comprehensive description of data assets and enterprise data management. It covers a business data dictionary, data quality management, data governance, the technical infrastructure and many other aspects of enterprise data management. The vocabulary represents a linked data implementation of the Data Knowledge Model which resulted from extensive applied research. @en
bbcprov - BBC Provenance Ontology
http://www.bbc.co.uk/ontologies/provenance

The provenance ontology supports data management and auditing tasks. It is used to define the different types of named graphs we used in the store (quad store) and enables their association with metadata that allow us to manage, validate and expose data to BBC services @en
lexinfo - LexInfo Ontology
http://www.lexinfo.net/ontology/2.0/lexinfo

Version 2.0 of LexInfo Ontology, based on Lemon @en
semio - Semio, an ontology of signs
http://www.lingvoj.org/semio.rdf

A vocabulary to describe signs in a semiotic approach @en
ontopic - Ontopic Ontology
http://www.ontologydesignpatterns.org/ont/dul/ontopic.owl

An ontology of topics as used in thesauri, subject directories, etc. @en
lmm1 - Lexical MetaModel Level 1
http://www.ontologydesignpatterns.org/ont/lmm/LMM_L1.owl

This ontology is a composition of some content design patterns for the semiotic triangle. Its structure is extracted from DOLCE-Ultralite (DOLCE+c.DnS), but it uses a different terminology, @en

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Selected vocabularies

Patterns?:	type name both
Flatten?:	yes no

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agent >

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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)