Conference paper
Discover information and knowledge from websites using an integrated summarization and visualization framework
3rd International Conference on Knowledge Discovery and Data Mining (Phuket, 09/01/2010–10/01/2010)
2010
Abstract
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.
Details
- Title
- Discover information and knowledge from websites using an integrated summarization and visualization framework
- Authors/Creators
- C.C. Fung (Author/Creator) - Murdoch UniversityW. Thanadechteemapat (Author/Creator) - Murdoch University
- Conference
- 3rd International Conference on Knowledge Discovery and Data Mining (Phuket, 09/01/2010–10/01/2010)
- Identifiers
- 991005544279707891
- Copyright
- © 2010 IEEE
- Murdoch Affiliation
- School of Information Technology
- Language
- English
- Resource Type
- Conference paper
- Note
- 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. This paper appears in: Third International Conference on Knowledge Discovery and Data Mining, 2010. WKDD '10. Phuket; 9 January 2010 through 10 January 2010, Article number 5432653, Pages 232-235.
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