Hierarchical Topic Maps for Visual Exploration and Comparison of Documents

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dc.contributor.authorTytarenko, Mariiaen_US
dc.contributor.authorShao, Linen_US
dc.contributor.authorRutar, Tobias Walteren_US
dc.contributor.authorBedek, Michael A.en_US
dc.contributor.authorKrenn, Corneliaen_US
dc.contributor.authorLengauer, Stefanen_US
dc.contributor.authorSchreck, Tobiasen_US
dc.contributor.editorEl-Assady, Mennatallahen_US
dc.contributor.editorSchulz, Hans-Jörgen_US
dc.date.accessioned2024-05-21T08:30:34Z
dc.date.available2024-05-21T08:30:34Z
dc.date.issued2024
dc.description.abstractInformation visualization nowadays provides a large amount of different text visualization techniques that help to summarize and present textual information in an intuitive and comprehensible manner. Despite many advancements, there remains a gap in effectively illustrating the thematic and structural distinction between similar documents in a hierarchical and interactive manner. We present the Hierarchical Topic Maps (HTM), an innovative approach, inspired by Tile Bars, that addresses this gap by illustrating the content distribution across a document hierarchically. Our model incorporates a multi-resolution display feature, enabling users, in particular curators of large document collections, with the need to quickly obtain text document structure, to delve deeper and draw more meaningful conclusions, to assess thematic similarities at multiple levels of detail, as well as facilitate nuanced comparison of textual documents. We demonstrate the effectiveness of both our approach's document exploration and document comparison potential by two exemplary use case scenarios. Our findings suggest that HTM not only simplifies the document overview process but also provides a practical solution for comparing thematic structures, thereby offering contributions to the field of text visualization and visualization analytics.en_US
dc.description.sectionheadersVisual Analytics Applications and Systems
dc.description.seriesinformationEuroVis Workshop on Visual Analytics (EuroVA)
dc.identifier.doi10.2312/eurova.20241119
dc.identifier.isbn978-3-03868-253-0
dc.identifier.pages6 pages
dc.identifier.urihttps://doi.org/10.2312/eurova.20241119
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/eurova20241119
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing → Treemaps; Visualization systems and tools; Information systems → Digital libraries and archives; Applied computing → Document searching
dc.subjectHuman centered computing → Treemaps
dc.subjectVisualization systems and tools
dc.subjectInformation systems → Digital libraries and archives
dc.subjectApplied computing → Document searching
dc.titleHierarchical Topic Maps for Visual Exploration and Comparison of Documentsen_US
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