An Assistant for Loading Learning Object Metadata: An Ontology Based Approach
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Date
2013
Journal Title
Journal ISSN
Volume Title
Publisher
Informing Science Institute
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.
Description
Keywords
Learning Object, Learning Object Metadata, Ontologies, Metadata Extraction
Citation
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