Current text visualization techniques typically provide overviews of document content and structure using intrinsic properties such as term frequencies, term co-occurrences, and sentence structures. However, these visualization techniques do not provide conceptual overviews that consider domain-relevant knowledge that is needed when examining documents such as research articles, technical panels, or news reports. To address this shortcoming, we present ConceptScope, a text visualization technique that aids visual analysis of documents by referencing a domain ontology to represent the conceptual relationships in a document. ConceptScope uses a Bubble TreeMap visualization linked to multiple coordinated views of document structure and concept hierarchy. The visualization also includes overviews of each concept and corresponding information from the document. ConceptScope provides two visualization modes: an exploration mode that allows an overview+detail examination of a given document, and a comparison mode that allows the user to visually compare conceptual structure between multiple documents. We demonstrate ConceptScope by visualizing research articles and transcripts of technical presentations in the computer science domain, and compare it with Docuburst, the popular knowledge visualization tool for text.

中文翻译：

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ConceptScope：基于领域本体组织和可视化文档中的知识

当前的文本可视化技术通常使用诸如术语频率、术语共现和句子结构之类的内在属性来提供文档内容和结构的概述。然而，这些可视化技术并没有提供考虑领域相关知识的概念性概述，而这些知识是在检查研究文章、技术面板或新闻报道等文档时所需的。为了解决这个缺点，我们提出了 ConceptScope，这是一种文本可视化技术，它通过引用领域本体来表示文档中的概念关系来帮助对文档进行可视化分析。ConceptScope 使用链接到文档结构和概念层次结构的多个协调视图的气泡树图可视化。可视化还包括每个概念的概述和文档中的相应信息。ConceptScope 提供两种可视化模式：探索模式允许对给定文档进行概览+细节检查，以及比较模式允许用户直观地比较多个文档之间的概念结构。我们通过可视化计算机科学领域的研究文章和技术演示文稿的成绩单来展示 ConceptScope，并将其与流行的文本知识可视化工具 Docuburst 进行比较。