Lyrebird: A learning object repository based on a domain taxonomy model

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. © 2013 Springer Science+Business Media.