Ontology Metrics in the Context of the GF Framework for OBDA

dc.creatorGómez, Sergio Alejandro
dc.creatorFillottrani, Pablo Rubén
dc.date2021-10
dc.date2021
dc.date2022-02-04T17:43:30Z
dc.date.accessioned2023-07-15T05:23:37Z
dc.date.available2023-07-15T05:23:37Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/130535
dc.identifierisbn:978-987-633-574-4
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7473190
dc.descriptionThere 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.
dc.descriptionWorkshop: WISS - Innovación en Sistemas de Software
dc.descriptionRed de Universidades con Carreras en Informática
dc.formatapplication/pdf
dc.format551-560
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rightsCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.subjectCiencias Informáticas
dc.subjectOntologies
dc.subjectOntology-Based Data Access
dc.subjectMetrics
dc.subjectKnowledge representation
dc.titleOntology Metrics in the Context of the GF Framework for OBDA
dc.typeObjeto de conferencia
dc.typeObjeto de conferencia


Este ítem pertenece a la siguiente institución