By Topic

Discover Information and Knowledge from Websites Using an Integrated Summarization and Visualization Framework

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Chun Che Fung ; Sch. of Inf. Technol., Murdoch Univ., Perth, WA, Australia ; Wigrai Thanadechteemapat

The number of Web sites has noticeably increased to roughly 225 million in the last ten years. This means there is a rapid growth of knowledge and information on the Internet. Although search engines can help users to filter their desired information based on key words, the searched result is normally presented in the form of a list, and users have to visit each Web page in order to determine the appropriateness of the result. A considerable amount of time therefore has to be spent on finding the required information. To address this issue, this paper proposes a knowledge discovery approach on the Web by providing an overview of the information on a Website using an integration of summarization and visualization techniques. This includes text summarization, tag cloud, Document Type View, and interactive features such as drill down and thumbnails. This approach is capable to reduce the time required to identify and search for information or knowledge from the Web.

Published in:

Knowledge Discovery and Data Mining, 2010. WKDD '10. Third International Conference on

Date of Conference:

9-10 Jan. 2010