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

  • Ingrid Durley Torres
  • Jaime Alberto Guzman Luna
  • Jovani Alberto Jimenez Builes
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 152)

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.

Keywords

Mold 

Notes

Acknowledgments

This work is part of the preliminary results of master’s thesis project “Reactive Planning Model for Dynamic Routing Composition of Learning in Virtual Environments and Uncertain Heterogeneous”

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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Ingrid Durley Torres
    • 1
    • 2
  • Jaime Alberto Guzman Luna
    • 2
    • 3
  • Jovani Alberto Jimenez Builes
    • 1
    • 3
  1. 1.Artificial Intelligence for Education Research GroupUniversidad Nacional de ColombiaMedellínColombia
  2. 2.SINTELWEB Research GroupUniversidad Nacional de ColombiaMedellínColombia
  3. 3.School of SystemsUniversidad Nacional de ColombiaMedellínColombia

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