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ERIC Number: EJ1058427
Record Type: Journal
Publication Date: 2013
Pages: 11
Abstractor: As Provided
Reference Count: 11
ISBN: N/A
ISSN: ISSN-2375-2033
An Assistant for Loading Learning Object Metadata: An Ontology Based Approach
Casali, Ana; Deco, Claudia; Romano, Agustín; Tomé, Guillermo
Interdisciplinary Journal of E-Learning and Learning Objects, v9 p77-87 2013
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.
Informing Science Institute. 131 Brookhill Court, Santa Rosa, CA 95409. Tel: 707-531-4925; Fax: 480-247-5724; e-mail: contactus@informingscience.org; Web site: http://www.informingscience.org/Journals/IJELL/Overview
Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A