Use of Agents to Realize a Federated Searching of Learning Objects

  • Jaime Muñoz-Arteaga
  • Edgar A. Calvillo-Moreno
  • Carlos A. Ochoa-Zezzatti
  • René Santaolaya-Salgado
  • Fco. Álvarez-Rodríguez
Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 71)


A traditional search applied in a federation of learning objects repositories consumes a lot of resources in time, large numbers of queries and registers. The main improvement proposed in this work is the insertion of agents approach in order to have pertinent results with less consuming resources and covering the expectations of user. An advantage to use the agent approach is possible to apply semantic searching of learning objects.


Learning Object Intelligent Agent Semantic Search Consuming Resource Agent Approach 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Sánchez-Alonso, S., Soto, J., Sicilia, M.A.: Designing Flexible Learning Object Repositories: Balancing Flexibility and Delegation in Ontological Characterizations. In: Harman, K., Koohan, A. (eds.) Learning Objects: standards, metadata, repositories, & LCMs, pp. 221–253. Informing Science press, Santa Rosa (2007), Heras, S., Rebollo, M., Julián, V.: Arguing About Recommendations in Social Networks. In: IAT 2008, pp. 314–317 (2008)Google Scholar
  2. 2.
    Lopez Guzman, C., Garcia Peñalevo, F.: Formation of learning Objects through the use of the metadatos of a digital collection: of Dublin Core to IMS. In: SPDECE 2004, Guadalajara, Spain, October 20-24 (2008)Google Scholar
  3. 3.
    Ochoa-Zezzatti, C., Padilla, A., González, S., Castro, A.: Shikari Hal: Improve a Game Board Base on Cultural Algorithms. IJVR 7(2), 41–46 (2008)Google Scholar
  4. 4.
    Muñoz-Arteaga, J., Ochoa, X., Calvillo-Moreno, E., Vincent, G.: Integration of REDOUAA to the Latin American Federation of Repositories of Learning Objects. In: LACLO 2007 (2da. he/she confers Latin American of Objects of Learning), Santiago from Chile, October 22-25 (2007)Google Scholar
  5. 5.
    Barcelo-Valenzuela, M., Alfonso-Sanchez, G., Perez-Soltero, A.: La Web Semantica como apoyo a la gestión del conocimiento y el modelado organizacional. Revista Ingenieria Informatica, Edicion 12 (Abril 2006)Google Scholar
  6. 6.
    Nikraz, M., Caire, G., Bahri, P.A.: A Methodology for the Analysis and Design of Multi-Agent System Using JadeGoogle Scholar
  7. 7.
    Jacsó, P.: Thoughts About Federated Searching. Information Today 21(9) (October 2004)Google Scholar
  8. 8.
    Conte, R., Paolucci, M., Mir, J.S.: Reputation for Innovating Social Networks. Advances in Complex Systems 11(2), 303–320 (2008)zbMATHCrossRefGoogle Scholar
  9. 9.
    Robert, A.: The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration. Princeton University Press, Princeton (1997)Google Scholar
  10. 10.
    Duval, E., Vidal, P., et al.: Ariadne Knowledge Pool System, version 5, (Access date: October 2009)
  11. 11.
    Inostroza, P., Santibañez, F.: Aprendiendo con Objetos de Aprendizaje, (Access date: October 2009)
  12. 12.
    Ochoa, X.: ESPOL, (Access date October 2009)

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Jaime Muñoz-Arteaga
    • 1
    • 3
  • Edgar A. Calvillo-Moreno
    • 1
  • Carlos A. Ochoa-Zezzatti
    • 2
  • René Santaolaya-Salgado
    • 3
  • Fco. Álvarez-Rodríguez
    • 1
  1. 1.Universidad Autónoma de AguascalientesAguascalientesMéxico
  2. 2.Universidad Autónoma de Ciudad Juarez, Henry DunantCd. JuárezMéxico
  3. 3.CENIDETCuernavacaMéxico

Personalised recommendations