Querying and creating visualizations by analogy

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Publication Type Journal Article
School or College College of Engineering
Department Computing, School of
Creator Freire, Juliana; Silva, Claudio T.
Other Author Scheidegger, Carlos E.; Vo, Huy T.; Koop, David
Title Querying and creating visualizations by analogy
Date 2007-11
Description While there have been advances in visualization systems, particularly in multi-view visualizations and visual exploration, the process of building visualizations remains a major bottleneck in data exploration. We show that provenance metadata collected during the creation of pipelines can be reused to suggest similar content in related visualizations and guide semi-automated changes. We introduce the idea of query-by-example in the context of an ensemble of visualizations, and the use of analogies as first-class operations in a system to guide scalable interactions. We describe an implementation of these techniques in VisTrails, a publicly-available, open-source system.
Type Text
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Journal Title IEEE Transactions on Visualization and Computer Graphics
Volume 13
Issue 6
First Page 1560
Last Page 1567
DOI 10.1109/TVCG.2007.70584
citatation_issn 1077-2626
Subject Provenance; VisTrails; Pipelines; Query-by-example
Subject LCSH Information visualization; Database management; Machine learning; Workflow -- Management; Computer graphics
Language eng
Bibliographic Citation Scheidegger, C. E., Vo, H. T., Koop, D., Freire, J., & Silva, C. T. (2007). Querying and creating visualizations by analogy. IEEE Transactions on Visualization and Computer Graphics, 13(6), 1560-7.
Rights Management (c)2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. http://dx.doi.org/10.1109/TVCG.2007.70584
Format Medium application/pdf
Format Extent 848,704 bytes
Identifier ir-main,12334
ARK ark:/87278/s65x2tdf
Setname ir_uspace
ID 705265
Reference URL https://collections.lib.utah.edu/ark:/87278/s65x2tdf
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