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PerCon: A personal digital library for heterogeneous data

机译:PerCon:用于异构数据的个人数字图书馆

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Systems are needed to support access to and analysis of large heterogeneous scientific datasets. We developed PerCon, a data management and analysis environment, to support such activities. PerCon processes and integrates data gathered via queries to existing data providers to create a personal digital library of data. Users may then search, browse, visualize and annotate the data as they proceed with analysis and interpretation. Interpretation in PerCon takes place in a visual workspace in which multiple data visualizations and annotations are placed into spatial arrangements based on the current task. The system watches for patterns in the user's data selection and organization and through mixed-initiative interaction assists users by suggesting potentially relevant data from unexplored data sources. PerCon's data location and analysis capabilities were evaluated in a controlled study with 24 users. Study participants had to locate and analyze heterogeneous weather and river data with and without the visual workspace and mixed-initiative interaction, respectively. Results indicate that the visual workspace facilitated information representation and aided in the identification of relationships between datasets. The system's suggestions encouraged data exploration, leading participants to identify more evidence of correlation among data streams and more potential interactions among weather and river data.
机译:需要系统来支持对大型异构科学数据集的访问和分析。我们开发了PerCon(一种数据管理和分析环境)来支持此类活动。 PerCon处理并整合通过查询收集的数据到现有的数据提供者,以创建一个个人数字数据图书馆。然后,用户可以在进行分析和解释时搜索,浏览,可视化和注释数据。 PerCon中的解释发生在一个可视工作空间中,在该工作空间中,根据当前任务将多个数据可视化和注释放置在空间排列中。该系统监视用户数据选择和组织中的模式,并通过混合启动交互来建议未开发数据源中潜在的相关数据,从而帮助用户。 PerCon的数据定位和分析功能在24位用户的对照研究中进行了评估。研究参与者必须分别在有和没有视觉工作区和混合启动交互的情况下,定位和分析异构天气和河流数据。结果表明,视觉工作区有助于信息表示并有助于识别数据集之间的关系。该系统的建议鼓励了数据探索,促使参与者识别出更多数据流之间相关性的证据以及天气和河流数据之间更多潜在的相互作用。

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