Using Information Retrieval to Construct an Intelligent E-book with Keyword Concept Map
Chin-Feng Lai 1, Shih-Yeh Chen 2, Chun-Wei Tsai 3, Yao-Chung Chang 2, Yu-Sheng Su 4 *
More Detail
1 Department of Engineering Science, National Cheng Kung University, Tainan, TAIWAN2 National Taitung University, Department of Computer Science and Information Engineering, Taitung, TAIWAN3 National Chung Hsing University, Department of Computer Science and Engineering, Taichung, TAIWAN4 Research Center for Advanced Science and Technology, National Central University, Taoyuan, TAIWAN* Corresponding Author


More and more people enjoy the brand new experience an e-book brings to them, but the traditional e-book is plenty of room for improvement. One of the reasons is that the book has to be read page by page; thus, it is not easy to grasp the overall structure of such a book. As such, we propose a novel system based on the information retrieval technologies to automatically create the keyword concept map for each section of the book. Moreover, in addition to showing the context where each keyword in the concept map is located, with each keyword in the concept map is associated a hyperlink, to make it easy for a reader to move to the context associated with the keyword. Equipped with the keyword concept map and the hyperlink associated with each keyword, it can be expected that the learning achievement of the reader can be raised. Our experimental results show that the proposed e-book system with the keyword concept map can provide a better learning result than a tradition e-book does in terms of both the scores received after learning and practicing and the results of satisfaction questionnaire on learning, practicing, and system satisfaction.


This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

EURASIA J Math Sci Tech Ed, Volume 13, Issue 10, October 2017, 6737-6747

Publication date: 03 Oct 2017

Article Views: 2008

Article Downloads: 1058

Open Access References How to cite this article