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Shining Light on Complex RDF Data through Advanced Data Visualization

机译:通过高级数据可视化,在复杂的RDF数据上大放异彩

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This Demonstration paper discusses ongoing work at Tom Sawyer Software in the area of advanced visualization and analysis of very large data sets, including RDF data. There is a growing imperative to explore large data sets as part of opportunity and threat analysis in areas such as national defense, financial risk analysis, market intelligence, and disease epidemiology. An increasing volume of this type of information is represented as RDF graphs. By visualizing and visually analyzing data, it is possible to see patterns, trends, and outliers in complex RDF graphs that would otherwise be difficult or even impossible to discover. Since RDF graphs are by nature difficult for humans to read, Tom Sawyer Software has been developing an innovative, graphical approach to defining the schema of RDF data, visualizing salient parts of the RDF graph, and integrating social network analysis into the visualization process to provide intuitive visual navigation, query, and understanding of information. This Demonstration paper discusses the underlying technology and its realization in sophisticated software for building advanced data visualization and analysis applications for making sense of large RDF graphs.
机译:本演示文章讨论了Tom Sawyer Software在高级可视化和分析非常大的数据集(包括RDF数据)方面正在进行的工作。在国防,金融风险分析,市场情报和疾病流行病学等领域,作为机会和威胁分析的一部分,探索大型数据集的需求日益增长。这类信息的数量越来越多,以RDF图表示。通过可视化和可视化分析数据,可以查看复杂的RDF图中的模式,趋势和离群值,否则这些图将很难甚至无法发现。由于RDF图本质上是人类难以阅读的,因此Tom Sawyer Software一直在开发一种创新的图形方法来定义RDF数据的方案,将RDF图的重要部分可视化并将社交网络分析集成到可视化过程中以提供直观的视觉导航,查询和信息理解。本演示文章讨论了基础技术及其在复杂软件中的实现,这些软件可用于构建高级数据可视化和分析应用程序,以使大型RDF图有意义。

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