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Linked Visual Analysis of Structured Datasets and Document Collections

机译:结构化数据集和文档集合的链接可视化分析

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Analysts use visual analytical systems for exploring and analyzing structured datasets and increasingly require tools to access supporting documents, research papers and news reports. Visual analytical systems for text corpora typically concentrate on techniques for exploring only document collections. We have developed a system for visualizing and analyzing both document collections and structured datasets. We describe a document visualization tool called InfoMaps developed by us within Weave, an open source framework for data exploration and analysis. Users of Weave analyzing datasets can search for documents from the web and networked repositories, and can use the matched documents as a part of their analysis. Conversely documents in InfoMaps can be used to identify relevant data subsets. In this paper, we discuss InfoMaps, its use and integration with other visual tools of Weave and our approach to the information extraction and integration process.
机译:分析师使用视觉分析系统来探索和分析结构化数据集,并且越来越需要使用工具来访问支持文档,研究论文和新闻报道。文本语料库的可视分析系统通常集中于仅浏览文档集合的技术。我们已经开发了一个可视化和分析文档集合和结构化数据集的系统。我们将介绍由Weave在Weave(一种用于数据探索和分析的开源框架)中开发的称为InfoMaps的文档可视化工具。 Weave分析数据集的用户可以从Web和网络存储库中搜索文档,并且可以将匹配的文档用作其分析的一部分。相反,InfoMaps中的文档可用于标识相关的数据子集。在本文中,我们将讨论InfoMap,其与Weave的其他可视化工具的使用和集成以及我们的信息提取和集成过程的方法。

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