VisComplete: automating suggestions for visualization pipelines

Update item information
Publication Type Journal Article
School or College College of Engineering
Department Computing, School of
Creator Freire, Juliana; Silva, Claudio T.
Other Author Koop, David; Scheidegger, Carlos E.; Callahan, Steven P.
Title VisComplete: automating suggestions for visualization pipelines
Date 2008-11
Description Building visualization and analysis pipelines is a large hurdle in the adoption of visualization and workflow systems by domain scientists. In this paper, we propose techniques to help users construct pipelines by consensus-automatically suggesting completions based on a database of previously created pipelines. In particular, we compute correspondences between existing pipeline subgraphs from the database, and use these to predict sets of likely pipeline additions to a given partial pipeline. By presenting these predictions in a carefully designed interface, users can create visualizations and other data products more efficiently because they can augment their normal work patterns with the suggested completions. We present an implementation of our technique in a publicly-available, open-source scientific workflow system and demonstrate efficiency gains in real-world situations.
Type Text
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Journal Title IEEE Transactions on Visualization and Computer Graphics
Volume 14
Issue 6
First Page 1691
Last Page 1698
DOI 10.1109/TVCG.2008.174
citatation_issn 1077-2626
Subject VisComplete; Workflows; Auto completion; Visualization pipelines
Subject LCSH Computer graphics; Information visualization; Computer simulation; Data mining
Language eng
Bibliographic Citation Koop, D., Scheidegger, C. E., Callahan, S. P., Freire, J., & Silva, C. T. (2008). VisComplete: automating suggestions for visualization pipelines. IEEE Transactions on Visualization and Computer Graphics, 14(6), 1691-8.
Rights Management (c) 2008 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.
Format Medium application/pdf
Format Extent 665,739 bytes
Identifier ir-main,12311
ARK ark:/87278/s62f863g
Setname ir_uspace
Date Created 2012-06-13
Date Modified 2012-06-13
ID 706939
Reference URL
Back to Search Results