Conference proceeding
Internet browsing: visualizing category map by fisheye and fractal views
Proceedings. International Conference on Information Technology: Coding and Computing, 1000356
2002
Abstract
A category map developed based on Kohonen's self-organizing map has been proven to be a promising browsing tool for solving the information overload problem of the World Wide Web. The SOM algorithm automatically compresses and transforms a complex information space into a two-dimensional graphical representation. Such graphical representation provides a user-friendly interface for users to explore the automatically generated mental model. However, as the amount of information increases, the size of the category map is expected to increase accordingly in order to accommodate the important concepts in the information space, which increases the visual load of the category map. In this paper, we propose the fisheye views and fractal views to support the visualization of category map. Fisheye views are developed based on the distortion approach while fractal views are developed based on the information reduction approach. We have developed a prototype system and conducted a user evaluation to investigate the performance of fisheye views and fractal views. The results show that both fisheye views and fractal views significantly increase the effectiveness of visualizing the category map. In addition, fractal views are significantly better than fisheye views.
Metrics
Details
- Title
- Internet browsing: visualizing category map by fisheye and fractal views
- Creators
- C.C. Yang - Chinese University of Hong KongHsinchun Chen - University of ArizonaK. Hong - University of Hong KongIEEE COMPUTER SOCIETY
- Publication Details
- Proceedings. International Conference on Information Technology: Coding and Computing, 1000356
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000175939100006
- Scopus ID
- 2-s2.0-11244287043
- Other Identifier
- 991021855286104721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Information Systems
- Computer Science, Software Engineering
- Computer Science, Theory & Methods
- Engineering, Electrical & Electronic