ConceptScope: Organizing and Visualizing Knowledge in Documents based on Domain Ontology

要旨

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.

著者
Xiaoyu Zhang
University of California, Davis, Davis, California, United States
Senthil Chandrasegaran
Delft University of Technology, Delft, Netherlands
Kwan-Liu Ma
University of California at Davis, Davis, California, United States
DOI

10.1145/3411764.3445396

論文URL

https://doi.org/10.1145/3411764.3445396

動画

会議: CHI 2021

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2021.acm.org/)

セッション: Designing Effective Visualizations

[A] Paper Room 09, 2021-05-13 17:00:00~2021-05-13 19:00:00 / [B] Paper Room 09, 2021-05-14 01:00:00~2021-05-14 03:00:00 / [C] Paper Room 09, 2021-05-14 09:00:00~2021-05-14 11:00:00
Paper Room 09
13 件の発表
2021-05-13 17:00:00
2021-05-13 19:00:00
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