NDLI: VisTrails: enabling interactive multiple-view visualizations

Content Provider	IEEE Xplore Digital Library
Author	Bavoil, L. Callahan, S.P. Crossno, P.J. Freire, J. Scheidegger, C.E. Silva, C.T. Vo, H.T.
Copyright Year	2005
Description	Author affiliation: Sci. Comput. & Imaging Inst., Utah Univ., Salt Lake City, UT, USA (Bavoil, L.; Callahan, S.P.)
Abstract	VisTrails is a new system that enables interactive multiple-view visualizations by simplifying the creation and maintenance of visualization pipelines, and by optimizing their execution. It provides a general infrastructure that can be combined with existing visualization systems and libraries. A key component of VisTrails is the visualization trail (vistrail), a formal specification of a pipeline. Unlike existing dataflow-based systems, in VisTrails there is a clear separation between the specification of a pipeline and its execution instances. This separation enables powerful scripting capabilities and provides a scalable mechanism for generating a large number of visualizations. VisTrails also leverages the vistrail specification to identify and avoid redundant operations. This optimization is especially useful while exploring multiple visualizations. When variations of the same pipeline need to be executed, substantial speedups can be obtained by caching the results of overlapping subsequences of the pipelines. In this paper, we describe the design and implementation of VisTrails, and show its effectiveness in different application scenarios.
Starting Page	135
Ending Page	142
File Size	2987911
Page Count	8
File Format	PDF
ISBN	0780394623
DOI	10.1109/VISUAL.2005.1532788
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-10-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pipelines Data visualization Rivers Power generation Mouth User interfaces Graphical user interfaces Graphics Visual databases Demand forecasting
Content Type	Text
Resource Type	Article

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