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2013 | OriginalPaper | Chapter

79. Lyrebird: A Learning Object Repository Based on a Domain Taxonomy Model

Authors : Ingrid Durley Torres, Jaime Alberto Guzman Luna, Jovani Alberto Jimenez Builes

Published in: Innovations and Advances in Computer, Information, Systems Sciences, and Engineering

Publisher: Springer New York

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Abstract

Taking advantage to a maximum of the records that contain data regarding learning objects has been a widely studied task in various fields of research. Web semantics is one of the most promissory; this paradigm is used with the purpose of dealing with the significant heterogeneity expressed by different users of objects themselves (authors, teachers and students). Lyrebird was born under this perspective; it is a repository of learning objects which provides sufficient semantic information to facilitate the reuse of learning objects ranging from processes such as classification, search and retrieval of information implementing three ontologies which are: one to specify a Domain of knowledge, another to define a learning object and lastly a to model metadata.

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Metadata
Title
Lyrebird: A Learning Object Repository Based on a Domain Taxonomy Model
Authors
Ingrid Durley Torres
Jaime Alberto Guzman Luna
Jovani Alberto Jimenez Builes
Copyright Year
2013
Publisher
Springer New York
DOI
https://doi.org/10.1007/978-1-4614-3535-8_79