Customizable Coordination of Independent Visual Analytics Tools

dc.contributor.authorNonnemann, Larsen_US
dc.contributor.authorHogräfer, Mariusen_US
dc.contributor.authorSchumann, Heidrunen_US
dc.contributor.authorUrban, Bodoen_US
dc.contributor.authorSchulz, Hans-Jörgen_US
dc.contributor.editorVrotsou, Katerina and Bernard, Jürgenen_US
dc.date.accessioned2021-06-12T11:22:12Z
dc.date.available2021-06-12T11:22:12Z
dc.date.issued2021
dc.description.abstractWhile it is common to use multiple independent analysis tools in combination, it is still cumbersome to carry out a cross-tool visual analysis. Some dedicated frameworks addressing this issue exist, yet in order to use them, a Visual Analytics tool must support their API or architecture. In this paper, we do not rely on a single predetermined exchange mechanism for the whole ensemble of VA tools. Instead, we propose using any available channel for exchanging data between two subsequently used VA tools. This effectively allows to mix and match different data exchange strategies within one cross-tool analysis, which considerably reduces the overhead of adding a new VA tool to a given tool ensemble. We demonstrate our approach with a first implementation called AnyProc and its application to a use case of three VA tools in a Health IT data analysis scenario.en_US
dc.description.sectionheadersVA Applications and Workflows
dc.description.seriesinformationEuroVis Workshop on Visual Analytics (EuroVA)
dc.identifier.doi10.2312/eurova.20211094
dc.identifier.isbn978-3-03868-150-2
dc.identifier.pages25-29
dc.identifier.urihttps://doi.org/10.2312/eurova.20211094
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/eurova20211094
dc.publisherThe Eurographics Associationen_US
dc.subjectHuman centered computing
dc.subjectVisualization systems and tools
dc.subjectInformation systems
dc.subjectData exchange
dc.titleCustomizable Coordination of Independent Visual Analytics Toolsen_US
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