TY - GEN
T1 - Internet browsing
T2 - International Conference on Information Technology: Coding and Computing, ITCC 2002
AU - Yang, Christopher C.
AU - Chen, Hsinchun
AU - Hong, Kay
N1 - Publisher Copyright:
© 2002 IEEE.
PY - 2002
Y1 - 2002
N2 - 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.
AB - 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.
KW - Computer science
KW - Fractals
KW - Information filtering
KW - Information filters
KW - Internet
KW - Management information systems
KW - Research and development management
KW - Systems engineering and theory
KW - Visualization
KW - Web sites
UR - http://www.scopus.com/inward/record.url?scp=11244287043&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=11244287043&partnerID=8YFLogxK
U2 - 10.1109/ITCC.2002.1000356
DO - 10.1109/ITCC.2002.1000356
M3 - Conference contribution
AN - SCOPUS:11244287043
T3 - Proceedings - International Conference on Information Technology: Coding and Computing, ITCC 2002
SP - 34
EP - 39
BT - Proceedings - International Conference on Information Technology
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 8 April 2002 through 10 April 2002
ER -