在交互式3D中可视化大量检索的新闻提要

Adrian M. Rossi, M. Varga
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引用次数: 9

摘要

本报告描述了在DERA的自动信息检索项目下进行的工作,即建立一个4D景观(TextScape),作为DERA- okapi搜索引擎的图形用户界面(GUI)。传统上,搜索引擎向用户呈现一个2D可视化界面(通常是窗口-图标-菜单-指针(WIMP)界面)。输入关键字,“点击”通常以列表形式显示。不幸的是,检索到的文档的数量往往是压倒性的,并且仍然需要大量的时间来阅读文档的摘要和部分,以确定它们是否相关,即使在搜索引擎执行了相关性排序之后也是如此。挑战在于如何改进这一点。我们建议将最直接需要的信息渲染到3D景观的视觉属性上。然后,形状、颜色和大小可以投射出所寻找的信息,并且从视觉上挖掘对象层次可以更快地返回信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visualisation of massive retrieved newsfeeds in interactive 3D
This report describes work carried out under the Automatic Information Retrieval project at DERA, in building a 4D landscape (a TextScape) which acts as a graphical user interface (GUI) to the DERA-OKAPI search engine. Traditionally search engines present a 2D visual interface (usually a windows-icons-menus-pointer (WIMP) interface) to the user. Key words are entered and the 'hits' are displayed usually in a list form. Unfortunately, the number of documents retrieved is often overwhelming and a significant amount of time is still required to read abstracts and sections of documents in order to determine if they are relevant, even after the search engine has performed relevance ranking. The challenge is how to improve on this. We propose to render the information most immediately required onto the visual attributes of a 3D landscape. Shape, colour and size can then project the information that is sought, and mining the object hierarchy visually returns information more rapidly.
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