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

175

results

How to

gso - Generic Specific Ontology
http://www.w3.org/2006/gen/ont

Ontology for Relating Generic and Specific Information Resources @en
acl - Basic Access Control ontology
http://www.w3.org/ns/auth/acl

Defines the element of Authorization and its essential properties, and also some classes of access such as read and write. @en
http - HTTP in RDF
http://www.w3.org/2011/http

A namespace for describing HTTP messages (http://www.w3.org/Protocols/rfc2616/rfc2616.html) @en
wdrs - Protocol for Web Description Resources
http://www.w3.org/2007/05/powder-s

The Protocol for Web Description Resources (POWDER) allows metadata to be associated with groups of resources such as those found on a Web site. @en
common - The Delivery Context Ontology
http://www.w3.org/2007/uwa/context/deliverycontext.owl

The Delivery Context Ontology models the knowledge of the environment in which devices interact with the Web or other services @en
ldp - Linked Data Platform
http://www.w3.org/ns/ldp#

A set of best practices and simple approach for a read-write Linked Data architecture, based on HTTP access to web resources that describe their state using the RDF data model. @en
lexdcp - Lexicon Model for Ontologies - Decomp
http://www.w3.org/ns/lemon/decomp

A model for the representation of lexical information relative to ontologies. Decomposition module. @en
lime - Lexicon Model for Ontologies - LIngusitic MEtadata (LIME)
http://www.w3.org/ns/lemon/lime

LIME (LInguistic MEtadata) is a vocabulary for expressing linguistic metadata about linguistic resources and linguistically grounded datasets. @en
mls - Machine Learning Schema
http://www.w3.org/ns/mls

ML-Schema is a collaborative, community effort with a mission to develop, maintain, and promote standard schemas for data mining and machine learning algorithms, datasets, and experiments @en
ontolex - Lexicon Model for Ontologies - Core
http://www.w3.org/ns/lemon/ontolex

A model for the representation of lexical information relative to ontologies. Core module. @en
synsem - Lexicon Model for Ontologies - Synsem
http://www.w3.org/ns/lemon/synsem

A model for the representation of lexical information relative to ontologies. Syntax and semantics module. @en
vartrans - Lexicon Model for Ontologies - Vartrans
http://www.w3.org/ns/lemon/vartrans

A model for the representation of lexical information relative to ontologies. Variation and translation module. @en
ssn - Semantic Sensor Network Ontology
http://www.w3.org/ns/ssn/

This ontology describes sensors, actuators and observations, and related concepts. It does not describe domain concepts, time, locations, etc. these are intended to be included from other ontologies via OWL imports. @en
wl - WSMO-Lite Ontology
http://www.wsmo.org/ns/wsmo-lite#

WSMO-Lite is a lightweight approach to the semantic annotation of Web service descriptions, defined by the STI2 working group Conceptual Models for Services @en
ui - A user interface ontology
http://www.w3.org/ns/ui

An ontology suitable for describing forms, sequences in widgets @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)