Internet browsing: visualizing category map by fisheye and fractal views
Internet browsing: visualizing category map by fisheye and fractal views
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互联网浏览：通过鱼眼和分形视图可视化类别图
DOI：
10.1109/itcc.2002.1000356
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发表时间：
2002
期刊：
影响因子：
--
通讯作者：
K. Hong
中科院分区：
文献类型：
--
作者：
Christopher C. Yang;Hsinchun Chen;K. Hong
基于Kohonen的自组织地图的类别地图被证明是一种很有前途的浏览工具，可以解决万维网的信息过载问题。SOM算法自动地将复杂的信息空间压缩并转换成二维图形表示。这种图形化表示为用户提供了一个用户友好的界面来探索自动生成的心理模型。然而，随着信息量的增加，为了容纳信息空间中的重要概念，类别图的大小预计会相应地增加，这增加了类别图的视觉负荷。在本文中，我们提出了鱼眼视图和分形视图来支持类别图的可视化。鱼眼视图的基础上开发的失真的方法，而分形视图的基础上开发的信息减少的方法。我们已经开发了一个原型系统，并进行了用户评价，调查鱼眼视图和分形视图的性能。结果表明，鱼眼视图和分形视图显着提高可视化的类别地图的有效性。此外，分形视图明显优于鱼眼视图。
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.