An Assistant for Loading Learning Object Metadata: An Ontology Based Approach

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In the last years, the development of different Repositories of Learning Objects has been in-creased. Users can retrieve these resources for reuse and personalization through searches in web repositories. The importance of high quality metadata is key for a successful retrieval. Learning Objects are...

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Detalles Bibliográficos
Autores principales: Casali, Ana, Deco, Claudia, Romano, Agustín, Tomé, Guillermo
Formato: article artículo publishedVersion
Lenguaje:Inglés
Publicado: Informing Science Institute 2013
Materias:
Learning Object
Learning Object Metadata
Ontologies
Metadata Extraction
Acceso en línea:http://hdl.handle.net/2133/3894
http://hdl.handle.net/2133/3894
Aporte de:
Repositorio Hipermedial de la Universidad Nacional de Rosario (UNR) de Universidad Nacional de Rosario
id I15-R121-2133-3894
record_format dspace
institution Universidad Nacional de Rosario
institution_str I-15
repository_str R-121
collection Repositorio Hipermedial de la Universidad Nacional de Rosario (UNR)
language Inglés
orig_language_str_mv eng
topic Learning Object
Learning Object Metadata
Ontologies
Metadata Extraction
spellingShingle Learning Object
Learning Object Metadata
Ontologies
Metadata Extraction
Casali, Ana
Deco, Claudia
Romano, Agustín
Tomé, Guillermo
An Assistant for Loading Learning Object Metadata: An Ontology Based Approach
topic_facet Learning Object
Learning Object Metadata
Ontologies
Metadata Extraction
description In the last years, the development of different Repositories of Learning Objects has been in-creased. Users can retrieve these resources for reuse and personalization through searches in web repositories. The importance of high quality metadata is key for a successful retrieval. Learning Objects are described with metadata usually in the standard IEEE LOM. We have designed and implemented a Learning Object Metadata ontology (LOM ontology) that establishes an interme-diate layer offering a shared vocabulary that allows specifying restrictions and gives a common semantics for any application which uses Learning Objects metadata. Thus, every change in the LOM ontology will be reflected in the different applications that use this ontology with no need to modify their code. In this work, as a proof of concept, we present an assistant prototype to help users to load these Objects in repositories. This prototype automatically extracts, restricts and validates the Learning Objects metadata using the LOM ontology.
format article
artículo
publishedVersion
author Casali, Ana
Deco, Claudia
Romano, Agustín
Tomé, Guillermo
author_facet Casali, Ana
Deco, Claudia
Romano, Agustín
Tomé, Guillermo
author_sort Casali, Ana
title An Assistant for Loading Learning Object Metadata: An Ontology Based Approach
title_short An Assistant for Loading Learning Object Metadata: An Ontology Based Approach
title_full An Assistant for Loading Learning Object Metadata: An Ontology Based Approach
title_fullStr An Assistant for Loading Learning Object Metadata: An Ontology Based Approach
title_full_unstemmed An Assistant for Loading Learning Object Metadata: An Ontology Based Approach
title_sort assistant for loading learning object metadata: an ontology based approach
publisher Informing Science Institute
publishDate 2013
url http://hdl.handle.net/2133/3894
http://hdl.handle.net/2133/3894
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