Raymond Y.K. Lau
Toward a fuzzy domain ontology extraction method for adaptive e-learning.
Lau, Raymond Y.K.; Song, Dawei; Li, Yuefeng; Cheung, Terence C.H.; Hao, Jin-Xing
Terence C.H. Cheung
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.
LAU, R.Y.K., SONG, D., LI, Y., CHEUNG, T.C.H. and HAO, J.-X. 2009. Towards a fuzzy domain ontology extraction method for adaptive e-learning. IEEE transactions on knowledge and data engineering [online], 21(6), pages 800-813. Available from: https://doi.org/10.1109/TKDE.2008.137
|Journal Article Type||Article|
|Acceptance Date||Jul 15, 2008|
|Online Publication Date||Jul 15, 2008|
|Publication Date||Jun 30, 2009|
|Deposit Date||Aug 10, 2009|
|Publicly Available Date||Aug 10, 2009|
|Journal||IEEE transactions on knowledge and data engineering|
|Publisher||IEEE Institute of Electrical and Electronics Engineers|
|Peer Reviewed||Peer Reviewed|
|Keywords||Domain ontology; Ontology extraction; Text mining; Fuzzy sets; Concept map; eLearning|
LAU 2009 Towards a fuzzy domain ontology
Publisher Licence URL
You might also like
Predicting emotional reaction in social networks.
Early fusion and query modification in their dual late fusion forms.
You have e-mail, what happens next? Tracking the eyes for genre.