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rdf:SynopsViz - A Framework for Hierarchical Linked Data Visual Exploration and Analysis

机译:rdf:SynopsViz-分层链接数据可视化探索和分析的框架

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摘要

The purpose of data visualization is to offer intuitive ways for information perception and manipulation, especially for non-expert users. The Web of Data has realized the availability of a huge amount of datasets. However, the volume and heterogeneity of available information make it difficult for humans to manually explore and analyse large datasets. In this paper, we present rdf:SynopsViz, a tool for hierarchical charting and visual exploration of Linked Open Data (LOD). Hierarchical LOD exploration is based on the creation of multiple levels of hierarchically related groups of resources based on the values of one or more properties. The adopted hierarchical model provides effective information abstraction and summarization. Also, it allows efficient -on the fly- statistic computations, using aggregations over the hierarchy levels.
机译:数据可视化的目的是为信息感知和操纵提供直观的方式,特别是对于非专家用户。数据网络已经实现了海量数据集的可用性。但是,可用信息的数量和异构性使人类很难手动探索和分析大型数据集。在本文中,我们介绍了rdf:SynopsViz,这是一种用于链接开放数据(LOD)的分层图表和可视化浏览的工具。层次式LOD探索基于一个或多个属性的值,创建多层层次结构相关的资源组。采用的分层模型提供了有效的信息抽象和汇总。此外,它还允许使用层次结构级别上的聚合进行高效的动态统计计算。

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