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

ANA CASALI; CLAUDIA DECO; AGUSTÍN ROMANO; GUILLERMO TOMÉ

Interdisciplinary Journal of E-Learning and Learning Objects

Infortmation Science Institute

Año: 2013 vol. 9 p. 77 - 87

1552-2237

n 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 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 theLOM 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 helpusers to load these Objects in repositories. This prototype automatically extracts, restricts and validates the Learning Objects metadata using the LOM ontology.