Ontology Metrics in the Context of the GF Framework for OBDA

Autores
Gómez, Sergio Alejandro; Fillottrani, Pablo Rubén
Año de publicación
2021
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
There is a need of generating high-quality ontologies for Semantic Web applications that need to access legacy, relational and nonrelational data sources. We present GF, a tool for materialization of ontologies from relational and non-relational data sources such as H2 databases, CSV files and Excel spreadsheets. We evaluate a sample case generated by GF with a third-party ontology evaluation tool called OntoMetrics. The results obtained show that the ontologies generated with GF are reasonably good for being used in Semantic Web applications as they are validated correctly and pass all of the filters for the OWL2 main profiles, thus making them suitable for processing with lightweight reasoners. The metrics indicate that our application is lacking quality in the annotation area regarding the documentation of the classes and properties generated by the application.
Workshop: WISS - Innovación en Sistemas de Software
Red de Universidades con Carreras en Informática
Materia
Ciencias Informáticas
Ontologies
Ontology-Based Data Access
Metrics
Knowledge representation
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/130535
Acceder
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spelling Ontology Metrics in the Context of the GF Framework for OBDAGómez, Sergio AlejandroFillottrani, Pablo RubénCiencias InformáticasOntologiesOntology-Based Data AccessMetricsKnowledge representationThere is a need of generating high-quality ontologies for Semantic Web applications that need to access legacy, relational and nonrelational data sources. We present GF, a tool for materialization of ontologies from relational and non-relational data sources such as H2 databases, CSV files and Excel spreadsheets. We evaluate a sample case generated by GF with a third-party ontology evaluation tool called OntoMetrics. The results obtained show that the ontologies generated with GF are reasonably good for being used in Semantic Web applications as they are validated correctly and pass all of the filters for the OWL2 main profiles, thus making them suitable for processing with lightweight reasoners. The metrics indicate that our application is lacking quality in the annotation area regarding the documentation of the classes and properties generated by the application.Workshop: WISS - Innovación en Sistemas de SoftwareRed de Universidades con Carreras en Informática2021-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf551-560http://sedici.unlp.edu.ar/handle/10915/130535enginfo:eu-repo/semantics/altIdentifier/isbn/978-987-633-574-4info:eu-repo/semantics/reference/hdl/10915/129809info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T11:24:40Zoai:sedici.unlp.edu.ar:10915/130535Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 11:24:41.015SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Ontology Metrics in the Context of the GF Framework for OBDA
title Ontology Metrics in the Context of the GF Framework for OBDA
spellingShingle Ontology Metrics in the Context of the GF Framework for OBDA
Gómez, Sergio Alejandro
Ciencias Informáticas
Ontologies
Ontology-Based Data Access
Metrics
Knowledge representation
title_short Ontology Metrics in the Context of the GF Framework for OBDA
title_full Ontology Metrics in the Context of the GF Framework for OBDA
title_fullStr Ontology Metrics in the Context of the GF Framework for OBDA
title_full_unstemmed Ontology Metrics in the Context of the GF Framework for OBDA
title_sort Ontology Metrics in the Context of the GF Framework for OBDA
dc.creator.none.fl_str_mv Gómez, Sergio Alejandro
Fillottrani, Pablo Rubén
author Gómez, Sergio Alejandro
author_facet Gómez, Sergio Alejandro
Fillottrani, Pablo Rubén
author_role author
author2 Fillottrani, Pablo Rubén
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Ontologies
Ontology-Based Data Access
Metrics
Knowledge representation
topic Ciencias Informáticas
Ontologies
Ontology-Based Data Access
Metrics
Knowledge representation
dc.description.none.fl_txt_mv There is a need of generating high-quality ontologies for Semantic Web applications that need to access legacy, relational and nonrelational data sources. We present GF, a tool for materialization of ontologies from relational and non-relational data sources such as H2 databases, CSV files and Excel spreadsheets. We evaluate a sample case generated by GF with a third-party ontology evaluation tool called OntoMetrics. The results obtained show that the ontologies generated with GF are reasonably good for being used in Semantic Web applications as they are validated correctly and pass all of the filters for the OWL2 main profiles, thus making them suitable for processing with lightweight reasoners. The metrics indicate that our application is lacking quality in the annotation area regarding the documentation of the classes and properties generated by the application.
Workshop: WISS - Innovación en Sistemas de Software
Red de Universidades con Carreras en Informática
description There is a need of generating high-quality ontologies for Semantic Web applications that need to access legacy, relational and nonrelational data sources. We present GF, a tool for materialization of ontologies from relational and non-relational data sources such as H2 databases, CSV files and Excel spreadsheets. We evaluate a sample case generated by GF with a third-party ontology evaluation tool called OntoMetrics. The results obtained show that the ontologies generated with GF are reasonably good for being used in Semantic Web applications as they are validated correctly and pass all of the filters for the OWL2 main profiles, thus making them suitable for processing with lightweight reasoners. The metrics indicate that our application is lacking quality in the annotation area regarding the documentation of the classes and properties generated by the application.
publishDate 2021
dc.date.none.fl_str_mv 2021-10
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dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-987-633-574-4
info:eu-repo/semantics/reference/hdl/10915/129809
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
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