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

Lau, Raymond, Song, Dawei, Li, Yuefeng, Cheung, Terence, & Hao, Jin-Xing (2009) Toward a fuzzy domain ontology extraction method for adaptive e-learning. IEEE Transactions on Knowledge & Data Engineering, 21(6), pp. 800-813.

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Abstract

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.

Impact and interest:

56 citations in Scopus
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29 citations in Web of Science®

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ID Code: 28792
Item Type: Journal Article
Keywords: Domain ontology, ontology extraction, text mining, concept map, e-Learning
DOI: 10.1109/TKDE.2008.137
ISSN: 1041-4347
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Conceptual Modelling (080603)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Past > Institutes > Institute for Creative Industries and Innovation
Current > Research Centres > Smart Services CRC
Copyright Owner: Copyright 2009 IEEE
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 25 Nov 2009 09:56
Last Modified: 01 Mar 2012 11:45

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