Fuzzy Multidimensional Modelling for Flexible Querying of Learning Object Repositories

  • Gloria Appelgren Lara
  • Miguel Delgado
  • Nicolás Marín
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8132)


The goal of this research is to design a fuzzy multidimensional model to manage learning object repositories. This model will provide the required elements to develop an intelligent system for information retrieval on learning object repositories based on OLAP multidimensional modeling and soft computing tools. It will handle the uncertainty of this data through a flexible approach.


Learning Object Metadata Data Warehousing Multidimensional Model Fuzzy Set Fuzzy Techniques 


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  1. 1.
    Ballard, C., Herreman, D., Schau, D., Bell, R., Kim, E., Valencic, A.: Data modeling techniques for data warehousing. Tech. Rep. SG24-2238-00, IBM - International Technical Support Organization (February 1998),
  2. 2.
    Baruque, C.B., Melo, R.N.: Using data warehousing and data mining techniques for the development of digital libraries for lms. In: Isaías, P.T., Karmakar, N., Rodrigues, L., Barbosa, P. (eds.) ICWI, pp. 227–234. IADIS (2004)Google Scholar
  3. 3.
    Bohl, O., Schellhase, J., Sengler, R., Winand, U.: The sharable content object reference model (scorm). a critical review. In: Proceedings of the International Conference on Computers in Education, ICCE 2002, p. 950. IEEE Computer Society Press, Los Alamitos (2002)CrossRefGoogle Scholar
  4. 4.
    Castillo-Ortega, R., Marín, N., Molina, C., Sánchez, D.: Building linguistic summaries with f-cube factory. In: Actas del XVI Congreso Español sobre Tecnologás y Lógica Fuzzy, pp. 620–625 (2012)Google Scholar
  5. 5.
    Connolly, T.M., Begg, C.E.: Database Systems: A Practical Approach to Design, Implementation and Management, 5/E. Addison-Wesley (2010)Google Scholar
  6. 6.
    Currier, S.: Metadata for learning resources: An update on standards activity for 2008. Tech. Rep. 55, ARIADNE (April 2008),
  7. 7.
    Delgado, M., Molina, C., Rodríguez Ariza, L., Sánchez, D., Vila Miranda, M.A.: F-cube factory: a fuzzy olap system for supporting imprecision. International Journal of Uncertainty. Fuzziness and Knowledge-Based Systems 15(suppl.-1), 59–81 (2007)CrossRefGoogle Scholar
  8. 8.
    Delgado, M., Molina, C., Sánchez, D., Vila, M.A., Rodriguez-Ariza, L.: A fuzzy multidimensional model for supporting imprecision in olap. In: Proceedings of the 2004 IEEE International Conference on Fuzzy Systems, vol. 3, pp. 1331–1336 (2004)Google Scholar
  9. 9.
    Hodgin, W.: Draft standard for learning object metadata. Tech. Rep. IEEE 1484.12.1-2002, Learning Technology Standards Committee of the IEEE (July 2002)Google Scholar
  10. 10.
    Inmon, W.: Building the Data Warehouse. Wiley (2005)Google Scholar
  11. 11.
    Kraan, W.: Learning object metadata use survey: sticking the short and wide in the long and thin. Tech. rep., CETIS - Centre for Educational Technology and Interoperability Standards (2004),
  12. 12.
    Laurent, A.: Querying fuzzy multidimensional databases: unary operators and their properties. Int. J. Uncertain. Fuzziness Knowl. -Based Syst. 11(suppl.), 31–45 (2003), MathSciNetzbMATHCrossRefGoogle Scholar
  13. 13.
    López Guzmán, C.: Los Repositorios de Objetos de Aprendizaje como soporte a un entorno e-learning. Master’s thesis, University of Salamanca (2005)Google Scholar
  14. 14.
    Małysiak-Mrozek, B.z., Mrozek, D., Kozielski, S.: Processing of crisp and fuzzy measures in the fuzzy data warehouse for global natural resources. In: García-Pedrajas, N., Herrera, F., Fyfe, C., Benítez, J.M., Ali, M. (eds.) IEA/AIE 2010, Part III. LNCS, vol. 6098, pp. 616–625. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  15. 15.
    Molina, C., Rodríguez Ariza, L., Sánchez, D., Vila, M.A.: A new fuzzy multidimensional model. IEEE T. Fuzzy Systems 14(6), 897–912 (2006)CrossRefGoogle Scholar
  16. 16.
    Poltrack, J., Hruska, N., Johnson, A., Haag, J.: The next generation of scorm: Innovation for the global force. In: Proceedings of Interservice-Industry Training, Simulation, and Education Conference (I-ITSEC), pp. 1–9 (2012)Google Scholar
  17. 17.
    Sapir, L., Shmilovici, A., Rokach, L.: A methodology for the design of a fuzzy data warehouse. In: Proceedings of the 4th International IEEE Conference on Intelligent Systems (IS 2008), vol. 1, pp. 2.14–2.21. IEEE (2008)Google Scholar
  18. 18.
    Soto-Carrión, J., Garcia, E., Sánchez-Alonso, S.: Problemas de almacenamiento e inferencia sobre grandes conjuntos de metadatos en un repositorio semántico de objetos de aprendizaje. In: Actas del III Simposio Plurisciplinar sobre objetos y diseños de aprendizaje, Oviedo, Spain (2006)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Gloria Appelgren Lara
    • 1
  • Miguel Delgado
    • 2
  • Nicolás Marín
    • 2
  1. 1.LATAM Airlines GroupSantiagoChile
  2. 2.Department of Computer Science and AIUniversity of GranadaGranadaSpain

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