Ontology Hub

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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

898

results

How to

sp - SPIN SPARQL Syntax
http://spinrdf.org/sp

An RDF Schema to syntactically represent SPARQL queries (including SPARQL UPDATE) as RDF triples. @en
spatial - NeoGeo Spatial Ontology
http://geovocab.org/spatial

A vocabulary for describing topological relations between features @en
spcm - Software Process Control Model
http://spi-fm.uca.es/spdef/models/deployment/spcm/1.0

Planning and monitoring the execution of software projects can be carried out with different supporting tools, from issue tracking systems to Gantt chart tools or even with using simple spreadsheets. This vocabulary includes the common elements for controlling software development or maintenance projects. @en
spfood - SmartProducts Food Domain Model
http://kmi.open.ac.uk/projects/smartproducts/ontologies/food.owl

Defines concepts and properties specific for the SmartProducts Philips use case (cooking domain). @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
sport - BBC Sport Ontology
http://www.bbc.co.uk/ontologies/sport

A simple ontology for representing competitive sports 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
spvqa - Scholarly Papers Vocabulary with Focus on Qualtitative Analysis
https://bmake.th-brandenburg.de/spv

The ontology is aimed at the support of research groups in the field of Business Modeling and Knowledge Engineering (BMaKE) in their collaborative work for qualitatively analyzing scholarly papers as well as sharing the results of that analyses and judgements. @en
sql - SQL Abstract Syntax Trees Vocabulary
http://ns.inria.fr/ast/sql#

The SQL AST Vocabulary allows SQL code abstract syntax trees to be published in RDF. @en
sri - Smart Readiness Indicator Vocabulary
https://w3id.org/sri

A vocabulary specifying concepts and structures needed to represent different data cubes needed for the Smart Readiness Indicator. @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
ssso - Simple Service Status Ontology
http://purl.org/ontology/ssso

An event-based RDF ontology for typical status in fulfillment of a service @en
st - The Stop Times ontology
http://semweb.mmlab.be/ns/stoptimes#Ontology

This ontology provides the predicates necessary to describe an arrival of a transit vehicle and its departure at a certain Stop. @en
stac - Security Toolbox : Attacks and Countermeasures
http://securitytoolbox.appspot.com/stac

A vocabulary to describe main security and cryptographic concepts: attacks, security mechanisms, OSI model, security protocols, security tools in numerous technologies: Web applications, network management, Sensor networks, Cellular (2G, 3G, 4G) and Wireless (Wifi), etc. @en
stax - RDF Stream Taxonomy (RDF-STaX)
https://w3id.org/stax/ontology

RDF-STaX is an OWL 2 DL ontology that enables describing the types of RDF streams and defines relations between them. @en

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Selected vocabularies

Patterns?:	type name both
Flatten?:	yes no

Type

vocabulary (898)
property/class >
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)