You are here:

Advanced Technologies for Contents Sharing, Exchanging and Searching in E-Learning Systems
Article

, , University of Calabria, Italy

International Journal on E-Learning Volume 3, Number 3, ISSN 1537-2456 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC USA

Full Text

Abstract

In this article we explain a semantic analysis model derived from neural networks and pattern classification experiences, based on keyword sets. This model can be used for searching, analyzing, and composing documents in e-learning systems and for permitting inter-platform collaboration and data exchange. In particular, we explain some searching algorithms that can be used both in simple search engines and in the intersystem communication, for building the set of learning objects that best matches an input query.

Citation

De Pietro, O. & Appratto, F. (2004). Advanced Technologies for Contents Sharing, Exchanging and Searching in E-Learning Systems. International Journal on E-Learning, 3(3), 5-12. Norfolk, VA: Association for the Advancement of Computing in Education (AACE). Retrieved June 28, 2022 from .

© 2004 Association for the Advancement of Computing in Education (AACE)

Keywords

References

View References & Citations Map
  1. Aho, A., Hopcroft, J., & Ullman, J. (1973) The design and the analysis of computer algorithms, Boston: Addison Wesley.
  2. Beckett, D. (2003). RDF/XML syntax specification. [Online]. Available: http://www.w3.org/TR/2004/REC-rdf-syntax-grammar-20040210/
  3. De Pietro, O. (2002). W-Didattica: Un sistema di didattica a distanza Internet-based. Didamatica 2002 Proceedings. Napoli, Italy: Liguori.
  4. Fraternali, P. (1999). Tools and approaches for developing dataintensive web applications: A survey. ACM Computing Surveys, 31(3), 34-45.
  5. Huber, J.F., Weiler, D., & Brand, H. (2000). UMTS, the mobile multimedia vision for IMT-2000: A focus on standardization. IEEE Communication Magazine, 12(3), 12-18.
  6. Khanna, T. (1991) Neural networks foundations. Boston: Addison Wesley.
  7. Klir, G.J., Clair, U.S., & Yuan, B. (1997) Fuzzy set theory – foundations and applications. Amsterdam, The Netherlands: Prentice Hall.
  8. Moret, B., & Shapiro, H. (1991) Algorithms from P to NP: Vol.1: Design and efficiency. Oxford, UK: Benjamin Cummings.
  9. Pao, Y. (1989). Adaptive pattern recognition and neural networks. Boston: Addison Wesley.
  10. Powell, A. (2003). Guidelines for implementing Dublin Core in XML. [Online]. Available: http://dublincore.org/documents/dcxml-guidelines/

These references have been extracted automatically and may have some errors. Signed in users can suggest corrections to these mistakes.

Suggest Corrections to References

Also Read