论文标题
概念景观：基于领域本体论的文档中组织和可视化知识
ConceptScope: Organizing and Visualizing Knowledge in Documents based on Domain Ontology
论文作者
论文摘要
当前的文本可视化技术通常使用诸如术语频率，共发生和句子结构等内在属性的概述概述文档内容和结构。在研究研究文章或技术报告等文档时，这种可视化缺乏包含与领域相关的知识的概念概述。为了解决这一缺点，我们提出了概念景观，该技术利用域本体论代表文档中的概念关系，以气泡Treemap可视化的形式。文档结构和概念层次结构的多个协调视图和文本概述进一步辅助文档分析。 ConceptScope分别促进了单个和多个文档的探索和比较。我们通过可视化计算机科学中技术演示的研究文章和笔录来证明概念景观。在与Docuburst的一项比较研究中，一种流行的文档可视化工具，发现概念景观在探索和比较特定于域的文档方面更具信息性，但在跨越多个学科的文档时，概念范围更少。
Current text visualization techniques typically provide overviews of document content and structure using intrinsic properties such as term frequencies, co-occurrences, and sentence structures. Such visualizations lack conceptual overviews incorporating domain-relevant knowledge, needed when examining documents such as research articles or technical reports. To address this shortcoming, we present ConceptScope, a technique that utilizes a domain ontology to represent the conceptual relationships in a document in the form of a Bubble Treemap visualization. Multiple coordinated views of document structure and concept hierarchy with text overviews further aid document analysis. ConceptScope facilitates exploration and comparison of single and multiple documents respectively. We demonstrate ConceptScope by visualizing research articles and transcripts of technical presentations in computer science. In a comparative study with DocuBurst, a popular document visualization tool, ConceptScope was found to be more informative in exploring and comparing domain-specific documents, but less so when it came to documents that spanned multiple disciplines.
