ConceptScope: Organizing and Visualizing Knowledge in Documents based on Domain Ontology
Xiaoyu Zhang, Senthil K. Chandrasegaran, Kwan-Liu Ma
Abstract
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.
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Cited by top-tier papers7
- ConceptEVA: Concept-Based Interactive Exploration and Customization of Document SummariesXiaoyu Zhang, Jianping Kelvin Li, Po-Wei Chi, Senthil K. Chandrasegaran et al.CHI 2023 · 25 citations
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- Signals Beyond Text: Understanding How Accessing Peer Concept Mapping and Commenting Augments Reflective Mind for High-Stake VideosJingxian Liao, Fu-Yin Cherng, Mrinalini Singh, Hao-Chuan WangCHI 2025 · 3 citations
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