Semantic interoperability model for learning object repositories

Autores
Sandobal Verón, Valeria Celeste; Ale, Mariel Alejandra; Gutiérrez, María de los Milagros
Año de publicación
2023
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Interoperability among repositories requires syntactic and semantic compatibility, achieved through the adoption of metadata standards. However, different learning object repositories currently use diverse metadata standards to describe their resources, so multiple metadata standards describe the same term, and vice versa. This paper proposes an ontologybased interoperability model, featuring a shared vocabulary (SV) and a set of matching rules. The SV establishes a common terminology for learning objects, while the matching rules enable translation between the SV and any metadata standard. As a result, both deposit and search for learning objects can be conducted using any metadata standard, thanks to the rules that ensure seamless translations where needed. To evaluate the proposed model, a prototype has been developed, which implements the SV and matching rules. This experience has shown that using ontologies and matching rules to provide an interoperability model for learning objects repositories is a valid, flexible and user-friendly solution.
Fil: Gutiérrez, María de los Milagros. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. CIDISI, Argentina.
Fil: Ale, Mariel Alejandra. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. CIDISI, Argentina.
Fil: Sandobal Verón, Valeria Celeste. Universidad Tecnológica Nacional. Facultad Regional Resistencia.Grupo de Investigación Educativa sobre Ingeniería, Argentina.
Peer Reviewed
Fuente
Int. J. Metadata, Semantics and Ontologies, Vol. 16(2): 172-186 (2023)
Materia
Semantic interoperability
Learning object repositories
Metadata standards
Nivel de accesibilidad
acceso abierto
Condiciones de uso
2024-03-25T23:02:10Z
Repositorio
Repositorio Institucional Abierto (UTN)
Institución
Universidad Tecnológica Nacional
OAI Identificador
oai:ria.utn.edu.ar:20.500.12272/10081
Acceder
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oai_identifier_str oai:ria.utn.edu.ar:20.500.12272/10081
network_acronym_str RIAUTN
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network_name_str Repositorio Institucional Abierto (UTN)
spelling Semantic interoperability model for learning object repositoriesSandobal Verón, Valeria CelesteAle, Mariel AlejandraGutiérrez, María de los MilagrosSemantic interoperabilityLearning object repositoriesMetadata standardsInteroperability among repositories requires syntactic and semantic compatibility, achieved through the adoption of metadata standards. However, different learning object repositories currently use diverse metadata standards to describe their resources, so multiple metadata standards describe the same term, and vice versa. This paper proposes an ontologybased interoperability model, featuring a shared vocabulary (SV) and a set of matching rules. The SV establishes a common terminology for learning objects, while the matching rules enable translation between the SV and any metadata standard. As a result, both deposit and search for learning objects can be conducted using any metadata standard, thanks to the rules that ensure seamless translations where needed. To evaluate the proposed model, a prototype has been developed, which implements the SV and matching rules. This experience has shown that using ontologies and matching rules to provide an interoperability model for learning objects repositories is a valid, flexible and user-friendly solution.Fil: Gutiérrez, María de los Milagros. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. CIDISI, Argentina.Fil: Ale, Mariel Alejandra. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. CIDISI, Argentina.Fil: Sandobal Verón, Valeria Celeste. Universidad Tecnológica Nacional. Facultad Regional Resistencia.Grupo de Investigación Educativa sobre Ingeniería, Argentina.Peer Reviewed2024-03-25T23:02:10Z2024-03-25T23:02:10Z2023-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articulopdfapplication/pdfSandobal Verón, V.C.; Ale, M.A. & Gutiérrez, M. de los M. (2023). Semantic interoperability model for learning object repositories. International Journal of Metadata, Semantics and Ontologies, 16(2), pp. 172-186http://hdl.handle.net/20.500.12272/1008110.1504/IJMSO.2023.135334Int. J. Metadata, Semantics and Ontologies, Vol. 16(2): 172-186 (2023)reponame:Repositorio Institucional Abierto (UTN)instname:Universidad Tecnológica NacionalengSITCBFE0008086TC - Análisis de la adecuación de los procesos de Ingeniería del Software para el desarrollo de Sistemas basados en Inteligencia Artificial en los ámbitos público, industrial y educativo.info:eu-repo/semantics/openAccess2024-03-25T23:02:10Zhttp://creativecommons.org/licenses/by/4.0/Atribución 4.0 InternacionalLas autorasCreativeCommons2026-09-24T12:45:07Zoai:ria.utn.edu.ar:20.500.12272/10081instacron:UTNInstitucionalhttp://ria.utn.edu.ar/Universidad públicaNo correspondehttp://ria.utn.edu.ar/oaigestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:a2026-09-24 12:45:08.298Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacionalfalse
dc.title.none.fl_str_mv Semantic interoperability model for learning object repositories
title Semantic interoperability model for learning object repositories
spellingShingle Semantic interoperability model for learning object repositories
Sandobal Verón, Valeria Celeste
Semantic interoperability
Learning object repositories
Metadata standards
title_short Semantic interoperability model for learning object repositories
title_full Semantic interoperability model for learning object repositories
title_fullStr Semantic interoperability model for learning object repositories
title_full_unstemmed Semantic interoperability model for learning object repositories
title_sort Semantic interoperability model for learning object repositories
dc.creator.none.fl_str_mv Sandobal Verón, Valeria Celeste
Ale, Mariel Alejandra
Gutiérrez, María de los Milagros
author Sandobal Verón, Valeria Celeste
author_facet Sandobal Verón, Valeria Celeste
Ale, Mariel Alejandra
Gutiérrez, María de los Milagros
author_role author
author2 Ale, Mariel Alejandra
Gutiérrez, María de los Milagros
author2_role author
author
dc.subject.none.fl_str_mv Semantic interoperability
Learning object repositories
Metadata standards
topic Semantic interoperability
Learning object repositories
Metadata standards
dc.description.none.fl_txt_mv Interoperability among repositories requires syntactic and semantic compatibility, achieved through the adoption of metadata standards. However, different learning object repositories currently use diverse metadata standards to describe their resources, so multiple metadata standards describe the same term, and vice versa. This paper proposes an ontologybased interoperability model, featuring a shared vocabulary (SV) and a set of matching rules. The SV establishes a common terminology for learning objects, while the matching rules enable translation between the SV and any metadata standard. As a result, both deposit and search for learning objects can be conducted using any metadata standard, thanks to the rules that ensure seamless translations where needed. To evaluate the proposed model, a prototype has been developed, which implements the SV and matching rules. This experience has shown that using ontologies and matching rules to provide an interoperability model for learning objects repositories is a valid, flexible and user-friendly solution.
Fil: Gutiérrez, María de los Milagros. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. CIDISI, Argentina.
Fil: Ale, Mariel Alejandra. Universidad Tecnológica Nacional. Facultad Regional Santa Fe. CIDISI, Argentina.
Fil: Sandobal Verón, Valeria Celeste. Universidad Tecnológica Nacional. Facultad Regional Resistencia.Grupo de Investigación Educativa sobre Ingeniería, Argentina.
Peer Reviewed
description Interoperability among repositories requires syntactic and semantic compatibility, achieved through the adoption of metadata standards. However, different learning object repositories currently use diverse metadata standards to describe their resources, so multiple metadata standards describe the same term, and vice versa. This paper proposes an ontologybased interoperability model, featuring a shared vocabulary (SV) and a set of matching rules. The SV establishes a common terminology for learning objects, while the matching rules enable translation between the SV and any metadata standard. As a result, both deposit and search for learning objects can be conducted using any metadata standard, thanks to the rules that ensure seamless translations where needed. To evaluate the proposed model, a prototype has been developed, which implements the SV and matching rules. This experience has shown that using ontologies and matching rules to provide an interoperability model for learning objects repositories is a valid, flexible and user-friendly solution.
publishDate 2023
dc.date.none.fl_str_mv 2023-06
2024-03-25T23:02:10Z
2024-03-25T23:02:10Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv Sandobal Verón, V.C.; Ale, M.A. & Gutiérrez, M. de los M. (2023). Semantic interoperability model for learning object repositories. International Journal of Metadata, Semantics and Ontologies, 16(2), pp. 172-186
http://hdl.handle.net/20.500.12272/10081
10.1504/IJMSO.2023.135334
identifier_str_mv Sandobal Verón, V.C.; Ale, M.A. & Gutiérrez, M. de los M. (2023). Semantic interoperability model for learning object repositories. International Journal of Metadata, Semantics and Ontologies, 16(2), pp. 172-186
10.1504/IJMSO.2023.135334
url http://hdl.handle.net/20.500.12272/10081
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv SITCBFE0008086TC - Análisis de la adecuación de los procesos de Ingeniería del Software para el desarrollo de Sistemas basados en Inteligencia Artificial en los ámbitos público, industrial y educativo.
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
2024-03-25T23:02:10Z
http://creativecommons.org/licenses/by/4.0/
Atribución 4.0 Internacional
Las autoras
CreativeCommons
eu_rights_str_mv openAccess
rights_invalid_str_mv 2024-03-25T23:02:10Z
http://creativecommons.org/licenses/by/4.0/
Atribución 4.0 Internacional
Las autoras
CreativeCommons
dc.format.none.fl_str_mv pdf
application/pdf
dc.source.none.fl_str_mv Int. J. Metadata, Semantics and Ontologies, Vol. 16(2): 172-186 (2023)
reponame:Repositorio Institucional Abierto (UTN)
instname:Universidad Tecnológica Nacional
reponame_str Repositorio Institucional Abierto (UTN)
collection Repositorio Institucional Abierto (UTN)
instname_str Universidad Tecnológica Nacional
repository.name.fl_str_mv Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacional
repository.mail.fl_str_mv gestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.ar
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score 13.24418

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