You are here:

An Intelligent Web Knowledge Extraction Framework to Support E-Learning Content Collection
PROCEEDINGS

, Department of Electronic Commerce Management, Nan Hua University, Taiwan ; , Tatung Institute of Commerce and Technology, Taiwan ; , Institute of Manufacturing Engineering, National Cheng Kung University, Taiwan ; , National University of Tainan, Taiwan ; , , Department of Electronic Commerce Management, Nan Hua University, Taiwan

E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Honolulu, Hawaii, USA ISBN 978-1-880094-60-0 Publisher: Association for the Advancement of Computing in Education (AACE), San Diego, CA

Abstract

Traditional teaching methods are limited by time and space. With the arrival of increasingly advanced technologies and the internet era, e-learning platforms can solve many of the problems faced by traditional teaching. The internet is filled with knowledge; how to automatically and effectively use such information in fulfilling the needs of users is a great challenge. In focusing on this problem, this study has designed a system framework for an intelligent internet knowledge extraction and construction mechanism. The system framework designed by this study can analyze the problems raised by the user, subsequently finding and using graphical semantic network models of different language and synonyms; the system then uses this model to describe the concepts of the user problem. The model or a concept model derived from breaking down the model is used to extract keywords and search for relevant information using an integrated mechanism of search engines.

Citation

Wang, C.B., Yang, H., Chen, Y.M., Chu, H.C., Chen, T.Y. & Tsaih, D. (2006). An Intelligent Web Knowledge Extraction Framework to Support E-Learning Content Collection. In T. Reeves & S. Yamashita (Eds.), Proceedings of E-Learn 2006--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 3104-3112). Honolulu, Hawaii, USA: Association for the Advancement of Computing in Education (AACE). Retrieved November 21, 2019 from .

Keywords