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

Fecha

2013

Título de la revista

ISSN de la revista

Título del volumen

Editor

Informing Science Institute
Resumen
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.

Palabras clave

Learning Object, Learning Object Metadata, Ontologies, Metadata Extraction

Citación

Casali, Ana, Claudia Deco, Agustín Romano, and Guillermo Tomé. "An Assistant for Loading Learning Object Metadata: An Ontology Based Approach." Interdisciplinary Journal of E-Learning and Learning Objects IJELLO 9 (2013): 11