A Semantic Distances-Based Approach for a Deeply Indexing of Learning Objects
Educational search engines are important for users to find learning objects (LO). However, these engines have not reached maturity in terms of searching, they suffer from several worries like the deep extraction of notions which diminishes their performance. The purpose of this paper is to propose a...
Main Authors: | Kamal El Guemmat, Sara Ouahabi |
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Format: | Article |
Language: | English |
Published: |
Kassel University Press
2019-03-01
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Series: | International Journal of Emerging Technologies in Learning (iJET) |
Subjects: | |
Online Access: | https://online-journals.org/index.php/i-jet/article/view/9738 |
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