Structuring and visualising the WWW by generalised similarity analysis
Structuring and visualising the WWW by generalised similarity analysis
复制标题
通过广义相似性分析构建和可视化 WWW
DOI：
10.1145/267437.267456
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发表时间：
1997
期刊：
影响因子：
--
通讯作者：
Chaomei Chen
中科院分区：
文献类型：
--
作者：
Chaomei Chen
本文描述了一种在WWW上构建和可视化基于超文本的信息空间的通用方法。这种方法被称为广义相似性分析(GSA)，它提供了一个统一的框架，用于从涉及超文本中三种基本关系的邻近度数据中提取结构模式，即超文本链接、内容相似性和浏览模式。GSA强调用户兴趣在动态构建底层信息空间中的整体作用。探路者网络被用作一种自然的工具，通过突出邻近数据中的显著关系来构建和可视化信息空间的丰富结构。在本文中，我们使用GSA框架来研究在Internet上自动检索的超文本文档，包括一些部门WWW站点和WWW上的会议记录。我们表明，GSA在构建和可视化超文本信息空间方面具有几个明显的特征。GSA为开发适应超文本系统的用户界面提供了一些通用工具。由GSA派生的链接结构可以与动态链接机制一起使用，以产生公共信息空间的多个超文本版本。
This paper describes a generic approach to structuring and visualising a hypertext-based information space on the WWW. This approach, called Generalised Similarity Analysis (GSA), provides a unifying framework for extracting structural patterns from a range of proximity data concerning three fundamental relationships in hypertext, namely, hypertext linkage, content similarity and browsing patterns. GSA emphasizes the integral role of users’ interests in dynamically structuring the underlying information space. Pathfinder networks are used as a natural vehicle for structuring and visualising the rich structure of an information space by highlighting salient relationships in proximity data. In this paper, we use the GSA framework in the study of hypertext documents automatically retrieved over the Internet, including a number of departmental WWW sites and conference proceedings on the WWW. We show that GSA has several distinct features for structuring and visualising hypertext information spaces. GSA provides some generic tools for developing adaptive user interfaces to hypertext systems. Link structures derived by GSA can be used together with dynamic linking mechanisms to produce a number of hypertext versions of a common information space.