Conceptscope: Organizing and visualizing knowledge in documents based on domain ontology

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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 shortcom-ing, 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 coordi-nated views of document structure and concept hierarchy with text overviews further aid document analysis. ConceptScope facilitates exploration and comparison of single and multiple documents re-spectively. We demonstrate ConceptScope by visualizing research articles and transcripts of technical presentations in computer sci-ence. In a comparative study with DocuBurst, a popular document visualization tool, ConceptScope was found to be more informative in exploring and comparing domain-specifc documents, but less so when it came to documents that spanned multiple disciplines.

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Zhang, X., Chandrasegaran, S., & Ma, K. L. (2021). Conceptscope: Organizing and visualizing knowledge in documents based on domain ontology. In Conference on Human Factors in Computing Systems - Proceedings. Association for Computing Machinery. https://doi.org/10.1145/3411764.3445396

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