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Tight Coupling of Personal Interests with Multi-dimensional Visualization for Exploration and Analysis of Text Collections

机译:个人兴趣与多维可视化探索和分析文本收集的密封耦合

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In this paper, we present an interactive matrix-based multi-dimensional visualization component which enables the users to explore a text collection along different conceptual dimensions. Of importance in our approach are the tight coupling of the users' personal ontologies representing their spheres of interest with the visualization component and the application of barycenter heuristic for edge crossing minimization to enhance its visual display. We also discuss how IVEA, the information visualization tool containing the proposed component, can address the commonly perceived constraints of building a personal ontology from scratch for IVEA to work.
机译:在本文中,我们介绍了一种基于交互式的基于矩阵的多维可视化组件,其使用户能够沿着不同的概念尺寸探索文本集合。在我们的方法中的重要性是用户的个人本体的紧密耦合,代表其感兴趣的关键领域,以及对边缘交叉最小化的重构启发式的应用,以增强其视觉显示。我们还讨论了Ivea如何,包含所提出的组件的信息可视化工具,可以解决从划痕为IVEA工作构建个人本体的常见约束。

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