VisComplete: Automating Suggestions for Visualization Pipelines
VisComplete: Automating Suggestions for Visualization Pipelines
复制标题
VisComplete：自动化可视化管道建议
DOI：
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发表时间：
2008
影响因子：
5.2
通讯作者：
Cláudio T. Silva
中科院分区：
文献类型：
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作者：
D. Koop;C. Scheidegger;S. Callahan;J. Freire;Cláudio T. Silva
构建可视化和分析管道是领域科学家采用可视化和工作流系统的一大障碍。在本文中，我们提出了技术，以帮助用户构建管道的共识自动建议完成以前创建的管道数据库的基础上。特别是，我们从数据库中计算现有管道子图之间的对应关系，并使用这些来预测给定部分管道的可能管道添加集。通过在精心设计的界面中呈现这些预测，用户可以更有效地创建可视化和其他数据产品，因为他们可以通过建议的完成来增强他们的正常工作模式。我们在一个公开的，开源的科学工作流系统中实现了我们的技术，并在现实世界的情况下证明了效率的提高。
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.