The Open UniversitySkip to content

Towards a fuzzy domain ontology extraction method for adaptive e-learning

Lau, R. Y. K.; Song, Dawei; Li, Yuefeng; Cheung, T. C. H. and Hao, Jin-Xing (2009). Towards a fuzzy domain ontology extraction method for adaptive e-learning. IEEE Transactions on Knowledge and Data Engineering, 21(6) pp. 800–813.

Full text available as:
PDF (Not Set) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (3MB)
DOI (Digital Object Identifier) Link:
Google Scholar: Look up in Google Scholar


With the widespread applications of electronic learning (e-Learning) technologies to education at all levels, increasing number of online educational resources and messages are generated from the corresponding e-Learning environments. Nevertheless, it is quite difficult, if not totally impossible, for instructors to read through and analyze the online messages to predict the progress of their students on the fly. The main contribution of this paper is the illustration of a novel concept map generation mechanism which is underpinned by a fuzzy domain ontology extraction algorithm. The proposed mechanism can automatically construct concept maps based on the messages posted to online discussion forums. By browsing the concept maps, instructors can quickly identify the progress of their students and adjust the pedagogical sequence on the fly. Our initial experimental results reveal that the accuracy and the quality of the automatically generated concept maps are promising. Our research work opens the door to the development and application of intelligent software tools to enhance e-Learning.

Item Type: Journal Item
Copyright Holders: 2009 IEEE
ISSN: 1041-4347
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 17509
Depositing User: Colin Smith
Date Deposited: 02 Jul 2009 11:16
Last Modified: 18 Jun 2018 20:10
Share this page:


Altmetrics from Altmetric

Citations from Dimensions

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU