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Ricardo Azambuja Silveira
University of Santa Catarina
Rafaela Lunardi Comarella
University of Santa Catarina
Ronaldo Lima Rocha Campos
Instituto Federal Catarinense
Jonas Vian
University of Santa Catarina
Fernando De La Prieta
University of Salamanca
Vol. 4 No. 4 (2015), Articles, pages 69-82
Accepted: Jun 28, 2016


This paper discusses some important issues regarding the the management of Learning objects covering searching over repositories and different approaches of recommendation systems and presents a multiagent system based application model for indexing, retrieving and recommending learning objects stored in different and heterogeneous repositories. The objects within these repositories are described by filled fields using different metadata (data about data) standards. The searching mechanism covers several different learning object repositories and the same object can be described in these repositories by the use of different types of fields. Aiming to improve accuracy and coverage in terms of recovering a learning object and improve the relevance of the results we propose an information retrieval model based on a multiagent system approach and an ontological model to describe the covered knowledge domain.


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