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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

180

results

How to

core - Materials Design Ontology - Core Module
https://w3id.org/mdo/core/

This is the core module in Materials Design Ontology. @en
mdo - Materials Design Ontology - Full
https://w3id.org/mdo/full/

This is the Materials Design Ontology. @en
nen2660 - NEN 2660-2:2022 'Rules for information modelling of the built environment - Part 2: Practical configuration, extension and implementation of NEN 2660-1''
https://w3id.org/nen2660/

Ontology which is a normative part of the Dutch NEN 2660-2 standard @en
mdo-struc - Materials Design Ontology - Structure Module
https://w3id.org/mdo/structure/

This is the structure module in Materials Design Ontology. @en
opm - OPM: Ontology for Property Management
https://w3id.org/opm

The Ontology for Property Management (OPM) extends the concepts introduced in the Smart Energy Aware Systems (SEAS) Evaluations ontology. @en
opti - Offshore Wind Power Platform Ontology for OPTiMAR
https://w3id.org/optimar

This ontology describes the components, failures, sensors, and events related to offshore wind platforms. @en
sdom - The Software Description Ontology for Models
https://w3id.org/okn/o/sdm

The Software Description Ontology for Models (SDM) expands the software description ontology (SD) to add information about scientific software models. Examples of scientific software models are hydrology models, agriculture models or economy models. @en
ofo - Occupant Feedback Ontology
https://w3id.org/ofo#

The aim of the Occupant Feedback Ontology is to semantically describe passive and active occupant feedback and to enable integration of this feedback with linked building data. @en
nno - The Neural Network Ontology
https://w3id.org/nno/ontology

This is the Neural Network Ontology. Designed by the AIFB (http://www.aifb.kit.edu/web/Web_Science) @en
seasd - The SEAS Device ontology
https://w3id.org/seas/DeviceOntology

The SEAS Device ontology defines `seas:Device` as physical system that are designed to execute one or more procedures that involve the physical world. @en
seas-eval - The SEAS Evaluation ontology
https://w3id.org/seas/EvaluationOntology

The Evaluation ontology describes evaluation of [`seas:Property`ies](https://w3id.org/seas/Property). There may be: - direct evaluations, or - qualified evaluations. @en
seasfo - The SEAS Forecasting ontology
https://w3id.org/seas/ForecastingOntology

The SEAS Forecasting ontology extends the [Procedure Execution ontology (PEP)](https://w3id.org/pep/) @en
seas-op - The SEAS Failable System ontology
https://w3id.org/seas/OperatingOntology

The SEAS Operating Ontology defines evaluations of operating features of interest. @en
seas-qudt - QUDT Alignment.
https://w3id.org/seas/QUDTAlignment

This ontology defines proposed alignemnts with the QUDT ontology. @en
seas-stats - The SEAS Statistics ontology.
https://w3id.org/seas/StatisticsOntology

This ontology defines common evaluation interpretation concepts for statistics. @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)