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AN INFORMATION RETRIEVAL SYSTEM FOR E-LEARNING

T. BARBU, M. Dragomir

First published: 2010DOI pendingView metrics

Abstract

An information retrieval technique that could be used successfully in the E-Learning domain is provided in this article. The described system is based on a relevancefeedback scheme. It retrieves relevant documents from an information database, those documents being useful in the learning process. The proposed system is an interactive one, the human user being involved in the retrieving process.

Publication details

Title
AN INFORMATION RETRIEVAL SYSTEM FOR E-LEARNING
Authors
T. BARBU, M. Dragomir
Proceedings
10th International Multidisciplinary Scientific GeoConference SGEM2010
Publisher
SGEM Scientific GeoConference
Year
2010
Pages
1033-1038
SWS Citekey
Barbu2010505
ISSN
Not available yet
ISBN
954-91818-1-2
Language
en
Publication type
Conference Paper
Keywords
distance educationdocument databasee-learninginformation retrievalmodern educationrelevance feedback
References8

  1. A. Singhal. Modern Information Retrieval: A Brief Overview. Bulletin of the IEEE Computer Society Technical Committee on Data Engineering 24 (4), pp. 35-43, 2001.

  2. M. Lew et al. Content-based Multimedia Information Retrieval: State of the Art and Challenges, ACM Transactions on Multimedia Computing, Communications, and Applications, pp. 1-19,2006.

  3. G. Z. Liu, G. J. Hwang. A key step to understanding paradigm shifts in e-learning: towards context-aware ubiquitous learning, British Journal of Educational Technology, 2009.

  4. S. M. Chan, Q. Jin. Collaboratively Shared Information Retrieval Model for eLearning, Advances in Web Based Learning - ICWL'06, Vol. 4181, pp. 123-133, 2006.

  5. D. Tavangarian, M. Leypold, K. Nolting, M. Roser. Is e-Learning the Solution for Individual Learning?, Journal of e-Learning, 2004.

  6. M. Gabroveanu, I. Diaconescu. Extracting semantic annotations from Moodle data, Proc. of the 2nd East European Workshop on Rule-Based Applications at the 1 8th European Conference on Articial Intelligence, vol. 428, pp. 1-5, 2008.

  7. T. Barbu. Modelling Multimedia Information Systems (in Romanian), at Romanian Academy Publishing House, 2006.

  8. J. Albersberg. Incremental relevance feedback, Proceedings of the Fifteenth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Copenhagen, pp. 1 1-22, 1992.

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