Comparison and Evaluation of Different Methods for the Feature Extraction from Educational Contents

Comparison and Evaluation of Different Methods for the Feature Extraction from Educational Contents

This paper analyses the capabilities of different techniques to build a semantic representation of educational digital resources. Educational digital resources are modeled using the Learning Object Metadata (LOM) standard, and these semantic representations can be obtained from different LOM fields,...

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Bibliographic Details
Main Authors: Jose Aguilar, Camilo Salazar, Henry Velasco, Julian Monsalve-Pulido, Edwin Montoya
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Computation
Subjects:
feature extraction
content analysis
educational contents
semantic representation
information retrieval
recommendation system
Online Access:https://www.mdpi.com/2079-3197/8/2/30

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