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Retrieving News Stories from a News Integration Archive

机译:从新闻集成档案库检索新闻故事

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摘要

The distinctive features of the Bveritas online news integration archive are as follows: 1) automatic clustering of related news documents into themes; 2) organization of these news clusters in a theme map; 3) extraction of meaningful labels for each news cluster; and 4) generation of links to related news articles. Several ways of retrieving news stories from this Bveritas archive are described. The retrieval methods range from the usual query box and links to related stories, to an interactive world map that allows news retrieval by country, to an interactive theme map. Query and browsing are mediated by a Scatter/Gather interface that allows the user to select interesting clusters, out of which the subset of documents are gathered and re-clustered for the user to visually inspect. The user is then asked to select new interesting clusters. This alternating selection/clustering process continues until the user decides to view the individual news story titles.
机译:Bveritas在线新闻集成档案库的独特功能如下:1)自动将相关新闻文档聚类为主题; 2)在主题图中组织这些新闻集群; 3)为每个新闻组提取有意义的标签;和4)生成相关新闻文章的链接。描述了从Bveritas档案库检索新闻报道的几种方法。检索方法的范围从通常的查询框和链接到相关故事,到可以按国家/地区检索新闻的交互式世界地图,再到交互式主题地图。查询和浏览由“分散/聚集”界面介导,该界面允许用户选择有趣的群集,从中可以收集并重新聚集文档子集,以供用户进行直观检查。然后要求用户选择新的有趣的集群。这种交替的选择/群集过程继续进行,直到用户决定查看各个新闻故事标题为止。

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