Dörk Marian, Carpendale Sheelagh, Collins Christopher, Williamson Carey
Computer Science Department, University of Calgary.
IEEE Trans Vis Comput Graph. 2008 Nov-Dec;14(6):1205-12. doi: 10.1109/TVCG.2008.175.
In common Web-based search interfaces, it can be difficult to formulate queries that simultaneously combine temporal, spatial, and topical data filters. We investigate how coordinated visualizations can enhance search and exploration of information on the World Wide Web by easing the formulation of these types of queries. Drawing from visual information seeking and exploratory search, we introduce VisGets--interactive query visualizations of Web-based information that operate with online information within a Web browser. VisGets provide the information seeker with visual overviews of Web resources and offer a way to visually filter the data. Our goal is to facilitate the construction of dynamic search queries that combine filters from more than one data dimension. We present a prototype information exploration system featuring three linked VisGets (temporal, spatial, and topical), and used it to visually explore news items from online RSS feeds.
在常见的基于网络的搜索界面中,要制定同时结合时间、空间和主题数据过滤器的查询可能会很困难。我们研究了协调可视化如何通过简化这类查询的制定来增强对万维网上信息的搜索和探索。借鉴视觉信息搜索和探索性搜索,我们引入了VisGets——基于网络信息的交互式查询可视化工具,它在网络浏览器中与在线信息一起运行。VisGets为信息搜索者提供网络资源的可视化概述,并提供一种可视化过滤数据的方法。我们的目标是促进构建结合来自多个数据维度过滤器的动态搜索查询。我们展示了一个具有三个链接的VisGets(时间、空间和主题)的原型信息探索系统,并使用它来可视化探索来自在线RSS提要的新闻条目。