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

Autor/inn/en	Casali, Ana; Deco, Claudia; Romano, Agustín; Tomé, Guillermo
Titel	An Assistant for Loading Learning Object Metadata: An Ontology Based Approach
Quelle	In: Interdisciplinary Journal of E-Learning and Learning Objects, 9 (2013), S.77-87 (11 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2375-2033
Schlagwörter	Metadata; Archives; Technology Uses in Education; Web Sites; Shared Resources and Services; Vocabulary; Information Retrieval + Suchen Sie Ihr Suchwort? Metadaten; Archivwesen; Archiv; Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen; Web-Design; Gemeinwirtschaft; Wortschatz
Abstract	In the last years, the development of different Repositories of Learning Objects has been increased. 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 intermediate 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. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01