Application of immune network metaphor to keyword map-based topic stream visualization
Application of immune network metaphor to keyword map-based topic stream visualization
复制标题
免疫网络隐喻在基于关键词图的主题流可视化中的应用
DOI：
10.1109/cira.2003.1222278
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发表时间：
2003
期刊：
影响因子：
--
通讯作者：
T. Hori
中科院分区：
文献类型：
--
作者：
Y. Takama;T. Hori
提出了一种从文档集序列中发现主题分布的方法。随着Web成为我们最重要的信息资源之一，除了文档检索之外，还应从多个角度考虑人与Web界面之间的交互。在本文中，我们专注于提取和可视化的主题分布在Web上。该聚类方法采用免疫网络模型，利用记忆细胞的特性来发现文档集之间的主题关系。该方法的有效性也被证明通过将其应用到两个序列的在线新闻文章。此外，基于关键字地图的信息可视化系统的开发可视化的主题流发现从一个序列的文档集。
A method to find topic distribution from a sequence of document sets is proposed. As the Web becomes one of the most important information resources for us, the interaction between a human and a Web interface should be considered from various viewpoints, besides that of document retrieval. In this paper, we focus on the extraction and visualization of topic distribution over the Web. The proposed clustering method employs the immune network model, in which the property of memory cell is used to find the topical relation among document sets. The effectiveness of the proposed method is also shown by applying it to two sequences of online news articles. Furthermore, keyword map-based information visualization system is developed to visualize the topic streams found from a sequence of document sets.