Learning Object Repositories with Dynamically Reconfigurable Metadata Schemata

[ES] In this paper we describe a model of learning object repository in which users have full control on the metadata schemata. Thus, they can define new schemata and they can reconfigure existing ones in a collaborative fashion. As consequence, the repository must react to changes in schemata in a...

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Detalles Bibliográficos
Autores: Gayoso-Cabada, Joaquín, Rodríguez-Cerezo, Daniel, Sierra, José-Luis
Tipo de recurso: capítulo de libro
Fecha de publicación:2016
País:España
Institución:Universidad de Salamanca (USAL)
Repositorio:GREDOS. Repositorio Institucional de la Universidad de Salamanca
OAI Identifier:oai:gredos.usal.es:10366/131558
Acceso en línea:http://hdl.handle.net/10366/131558
Access Level:acceso abierto
Palabra clave:Learning object repository
Metadata schemata
Dynamic reconfigurability
Learning object indexing
Browsing
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repository_id_str
spelling Learning Object Repositories with Dynamically Reconfigurable Metadata SchemataGayoso-Cabada, JoaquínRodríguez-Cerezo, DanielSierra, José-LuisLearning object repositoryMetadata schemataDynamic reconfigurabilityLearning object indexingBrowsing[ES] In this paper we describe a model of learning object repository in which users have full control on the metadata schemata. Thus, they can define new schemata and they can reconfigure existing ones in a collaborative fashion. As consequence, the repository must react to changes in schemata in a dynamic and responsive way. Since schemata enable operations like navigation and search, dynamic reconfigurability requires clever indexing strategies, resilient to changes in these schemata. For this purpose, we have used conventional inverted indexing approaches and we have also devised a hierarchical clusteringbased indexing model. By using Clavy, a system for managing learning object repositories in the field of the Humanities, we provide some experimental results that show how the hierarchical clustering-based model can outperform the more conventional inverted indexes-based solutions.Ediciones Universidad de Salamanca (España)201620162016info:eu-repo/semantics/bookPartapplication/pdfhttp://hdl.handle.net/10366/131558reponame:GREDOS. Repositorio Institucional de la Universidad de Salamancainstname:Universidad de Salamanca (USAL)Ingléshttp://gredos.usal.es/jspui/handle/10366/131450Aguilafuente;222Attribution-NonCommercial-NoDerivs 3.0 Unportedhttps://creativecommons.org/licenses/by-nc-nd/3.0/info:eu-repo/semantics/openAccessoai:gredos.usal.es:10366/1315582026-06-07T06:28:51Z
dc.title.none.fl_str_mv Learning Object Repositories with Dynamically Reconfigurable Metadata Schemata
title Learning Object Repositories with Dynamically Reconfigurable Metadata Schemata
spellingShingle Learning Object Repositories with Dynamically Reconfigurable Metadata Schemata
Gayoso-Cabada, Joaquín
Learning object repository
Metadata schemata
Dynamic reconfigurability
Learning object indexing
Browsing
title_short Learning Object Repositories with Dynamically Reconfigurable Metadata Schemata
title_full Learning Object Repositories with Dynamically Reconfigurable Metadata Schemata
title_fullStr Learning Object Repositories with Dynamically Reconfigurable Metadata Schemata
title_full_unstemmed Learning Object Repositories with Dynamically Reconfigurable Metadata Schemata
title_sort Learning Object Repositories with Dynamically Reconfigurable Metadata Schemata
dc.creator.none.fl_str_mv Gayoso-Cabada, Joaquín
Rodríguez-Cerezo, Daniel
Sierra, José-Luis
author Gayoso-Cabada, Joaquín
author_facet Gayoso-Cabada, Joaquín
Rodríguez-Cerezo, Daniel
Sierra, José-Luis
author_role author
author2 Rodríguez-Cerezo, Daniel
Sierra, José-Luis
author2_role author
author
dc.subject.none.fl_str_mv Learning object repository
Metadata schemata
Dynamic reconfigurability
Learning object indexing
Browsing
topic Learning object repository
Metadata schemata
Dynamic reconfigurability
Learning object indexing
Browsing
description [ES] In this paper we describe a model of learning object repository in which users have full control on the metadata schemata. Thus, they can define new schemata and they can reconfigure existing ones in a collaborative fashion. As consequence, the repository must react to changes in schemata in a dynamic and responsive way. Since schemata enable operations like navigation and search, dynamic reconfigurability requires clever indexing strategies, resilient to changes in these schemata. For this purpose, we have used conventional inverted indexing approaches and we have also devised a hierarchical clusteringbased indexing model. By using Clavy, a system for managing learning object repositories in the field of the Humanities, we provide some experimental results that show how the hierarchical clustering-based model can outperform the more conventional inverted indexes-based solutions.
publishDate 2016
dc.date.none.fl_str_mv 2016
2016
2016
dc.type.none.fl_str_mv info:eu-repo/semantics/bookPart
format bookPart
dc.identifier.none.fl_str_mv http://hdl.handle.net/10366/131558
url http://hdl.handle.net/10366/131558
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv http://gredos.usal.es/jspui/handle/10366/131450
Aguilafuente;222
dc.rights.none.fl_str_mv Attribution-NonCommercial-NoDerivs 3.0 Unported
https://creativecommons.org/licenses/by-nc-nd/3.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivs 3.0 Unported
https://creativecommons.org/licenses/by-nc-nd/3.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Ediciones Universidad de Salamanca (España)
publisher.none.fl_str_mv Ediciones Universidad de Salamanca (España)
dc.source.none.fl_str_mv reponame:GREDOS. Repositorio Institucional de la Universidad de Salamanca
instname:Universidad de Salamanca (USAL)
instname_str Universidad de Salamanca (USAL)
reponame_str GREDOS. Repositorio Institucional de la Universidad de Salamanca
collection GREDOS. Repositorio Institucional de la Universidad de Salamanca
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300724

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