可伸缩的视觉推理:通过分布式分析支持协作

W. Pike, Richard May, B. Baddeley, R. Riensche, Joe Bruce, K. Younkin
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引用次数: 20

摘要

我们提出了一个称为可扩展推理系统(SRS)的可视化环境,它为推理产品的收集、分析和传播提供了一套工具。该环境旨在跨多个平台运行,为移动和桌面客户端提供视觉信息的显示和与该信息相关的推理捕获。SRS的面向服务的体系结构促进了用户之间的协作和交互,而不考虑他们的位置或平台。可视化服务允许集中数据处理,并实时从分布式客户端收集分析结果。我们使用ldququreasoning artifacts的概念来获取附加到单个信息片段及其集合的分析价值,帮助融合信息分析中的觅食和意义构建循环。由这些工件组成的推理结构可以跨平台共享,同时保持对生成它们的分析活动(如交互式可视化)的引用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Scalable visual reasoning: Supporting collaboration through distributed analysis
We present a visualization environment called the scalable reasoning system (SRS) that provides a suite of tools for the collection, analysis, and dissemination of reasoning products. This environment is designed to function across multiple platforms, bringing the display of visual information and the capture of reasoning associated with that information to both mobile and desktop clients. The service-oriented architecture of SRS facilitates collaboration and interaction between users regardless of their location or platform. Visualization services allow data processing to be centralized and analysis results to be collected from distributed clients in real time. We use the concept of ldquoreasoning artifactsrdquo to capture the analytic value attached to individual pieces of information and collections thereof, helping to fuse the foraging and sense-making loops in information analysis. Reasoning structures composed of these artifacts can be shared across platforms while maintaining references to the analytic activity (such as interactive visualization) that produced them.
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