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

919

results

How to

swc - Semantic Web Conference Ontology
http://data.semanticweb.org/ns/swc/ontology

The Semantic Web Conference ontology (SWC) is an ontology for describing academic conferences @en
dataid - DataID
http://dataid.dbpedia.org/ns/core#

DBpedia Data ID is an ontology with the goal of describing LOD datasets via RDF files in a uniform way. Established vocabularies like DCAT, VoID, Prov-O and SPARQL Service Description are used for maximum compatibility. @en
graphql - GraphQL Vocabulary
http://datashapes.org/graphql

A vocabulary to annotate RDF schemas (in particular SHACL shapes) with metadata to define mappings to GraphQL. @en
vdpp - Vocabulary for Dataset Publication Projects
http://data.lirmm.fr/ontologies/vdpp

The Vocabulary of Dataset Publication Projects (VDPP) allows to represent the status of a dataset publication project. It is mainly based on the Provenance Vocabulary (PRV), the Dataset Provenance Vocabulary (VOIDP), the Vocabulary of Interlinked Datasets (VoID), and the Description of a Project (DOAP) vocabulary. @en
lom - Learning Object Metadata Ontology
http://data.opendiscoveryspace.eu/lom_ontology_ods.owl

An ontology and vocabulary used for exposing IEEE LOM, a metadata standard for educational contents, as Linked Data. It is intended as a bridge for linkage of educational metadata into Linked Open Data (LOD). In this ontology, we designed a mapping of IEEE LOM elements to RDF based on Linked Data principles. @en
osgeom - Ordnance Survey Geometry Ontology
http://data.ordnancesurvey.co.uk/ontology/geometry/

A provisional small geometry vocabulary used by Ordnance Survey vocabularies and datasets. Likely to change when some standard way of representing geometries in RDF is agreed. @en
postcode - Postcode Ontology
http://data.ordnancesurvey.co.uk/ontology/postcode/

An ontology describing the postcode geography in Great Britain. @en
osspr - Spatial Relations Ontology
http://data.ordnancesurvey.co.uk/ontology/spatialrelations/

An ontology describing basic spatial relations. @en
pna - Press.net Asset Ontology
http://data.press.net/ontology/asset/

Press.net Asset Ontology describes news assets (text, images, video, data, etc), the relationships between them and how assets can be classified and semantically annotated. @en
bperson - Person
http://data.vlaanderen.be/ns/persoon

Person ontology in Dutch @en
osadm - The administrative geography and civil voting area ontology
http://data.ordnancesurvey.co.uk/ontology/admingeo/

An ontology describing the administrative and voting area geography of Great Britain @en
g50k - 50K Gazetteer Vocabulary
http://data.ordnancesurvey.co.uk/ontology/50kGazetteer/

A vocabulary developed to describe the Ordance Survey 50k Gazetteer linked data @en
game - TotL Game Ontology
http://data.totl.net/game/

This schema describes games with a known state, and few or no random elements. @en
ekc - EKC Data Model Vocabulary: Ontology Design for the Encyclopedic Archives of Korean Culture (ekc)
http://dh.aks.ac.kr/ontologies/ekc

The present specification is based on the document \"Ontology:EKC 2022\", originally led by Hyeon Kim in the Center for Digital Humanities at the Academy of Korean Studies. @en
obws - Object with states ontology
http://delicias.dia.fi.upm.es/ontologies/ObjectWithStates.owl

Ontology including the content ontology design pattern for modelling objects with states. @en

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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)