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

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Title: An Assistant for Loading Learning Object Metadata: An Ontology Based Approach
Language: English
Authors: Casali, Ana, Deco, Claudia, Romano, Agustín
Source: Interdisciplinary Journal of E-Learning and Learning Objects. 2013 9:77-87.
Availability: 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
Peer Reviewed: Y
Page Count: 11
Publication Date: 2013
Document Type: Journal Articles
Reports - Descriptive
Descriptors: Metadata, Archives, Technology Uses in Education, Web Sites, Shared Resources and Services, Vocabulary, Information Retrieval
ISSN: 2375-2033
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.
Abstractor: As Provided
Number of References: 11
Entry Date: 2015
Access URL: https://www.informingscience.org/Journals/IJELL/Articles
Accession Number: EJ1058427
Database: ERIC
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  Data: An Assistant for Loading Learning Object Metadata: An Ontology Based Approach
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  Data: 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
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  Data: 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.
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