Abstract
This paper proposes a multiagent system 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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Downes, S.: Learning Objects: Resources for distance education worldwide. The International Review of Research in Open and Distance Learning 2(1) (2001) (accessed: April 10, 2012)
Wiley, D.: Connecting learning objects to instructional design theory: A definition, a metaphor, and a taxonomy. In: Wiley, D.A. (ed.) The Instructional Use of Learning Objects (2000), http://reusability.org/read/chapters/wiley.doc (accessed: July 10, 2012)
McGreal, R.: Online Education Using Learning Objects. Routledge, London (2004)
Nash, S.S.: Learning Objects, Learning Object Repositories, and Learning Theory: Preliminary Best Practices for Online Courses. Interdisciplinary Journal of Knowledge and Learning Objects (2005)
Gil, A.B., De la Prieta, F., Rodríguez, S.: Automatic Learning Object Extraction and Classification in Heterogeneous Environments. In: Pérez, J.B., Corchado, J.M., Moreno, M.N., Julián, V., Mathieu, P., Canada-Bago, J., Ortega, A., Caballero, A.F. (eds.) Highlights in PAAMS. AISC, vol. 89, pp. 109–116. Springer, Heidelberg (2011)
Fabre, M.C.J.M., Tarouco, L.M.R., Tamusiunas, F.R.: Reusabilidade de objetos educacionais. RENOTE - Revista Novas Tecnologias na Educação 1(1) (2003)
Li, S., Yang, Z., Liu, Q., Huang, T.: Research of web information retrieval based on metadata and OAI. In: IEEE International Conference on Granular Computing, GrC 2008, August 26-28, pp. 383–386 (2008), doi:10.1109/GRC.2008.4664693
Bargmeyer, B.E., Gillman, D.W.: Metadata Standards and Metadata Registries: An Overview (2011), http://www.bls.gov/ore/pdf/st000010.pdf (accessed: July 10, 2011)
Dublin Core, The Dublin Core Metadata Initiative (2012), http://dublincore.org/ (accessed: June 2, 2012)
IEEE-LTSC, Draft Standard for Learning Object Metadata. IEEE Learning Technology Standards Committee (2002), http://ltsc.ieee.org/wg12/files/LOM_1484_12_1_v1_Final_Draft.pdf (accessed: Mai 10, 2011)
Wooldridge, M.: An Introduction to Multiagent Systems. John Wiley, England (2002)
FIPA. Foundation for Intelligent Physical Agents (2012), http://www.fipa.org/ (accessed: December 10, 2012)
JADE, Java Agent Development Framework (2012), http://jade.tilab.com/ (accessed: December 3, 2012)
Manning, C.D., Raghavan, P., Schutz, H.: Introduction to Information Retrieval. Cambridge University Press, England (2008)
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Campos, R.L.R., Comarella, R.L., Silveira, R.A. (2013). Multiagent Based Recommendation System Model for Indexing and Retrieving Learning Objects. In: Corchado, J.M., et al. Highlights on Practical Applications of Agents and Multi-Agent Systems. PAAMS 2013. Communications in Computer and Information Science, vol 365. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38061-7_31
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DOI: https://doi.org/10.1007/978-3-642-38061-7_31
Publisher Name: Springer, Berlin, Heidelberg
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