Ontology Metrics in the Context of the GF Framework for OBDA

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...

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Detalles Bibliográficos
Autores principales: Gómez, Sergio Alejandro, Fillottrani, Pablo Rubén
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2021
Materias:
Ciencias Informáticas
Ontologies
Ontology-Based Data Access
Metrics
Knowledge representation
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/130535
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-130535
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Ontologies
Ontology-Based Data Access
Metrics
Knowledge representation
spellingShingle Ciencias Informáticas
Ontologies
Ontology-Based Data Access
Metrics
Knowledge representation
Gómez, Sergio Alejandro
Fillottrani, Pablo Rubén
Ontology Metrics in the Context of the GF Framework for OBDA
topic_facet Ciencias Informáticas
Ontologies
Ontology-Based Data Access
Metrics
Knowledge representation
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.
format Objeto de conferencia
Objeto de conferencia
author Gómez, Sergio Alejandro
Fillottrani, Pablo Rubén
author_facet Gómez, Sergio Alejandro
Fillottrani, Pablo Rubén
author_sort Gómez, Sergio Alejandro
title Ontology Metrics in the Context of the GF Framework for OBDA
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
publishDate 2021
url http://sedici.unlp.edu.ar/handle/10915/130535
work_keys_str_mv AT gomezsergioalejandro ontologymetricsinthecontextofthegfframeworkforobda
AT fillottranipabloruben ontologymetricsinthecontextofthegfframeworkforobda
bdutipo_str Repositorios
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