Information Visualization on Organized Crime Trials

Lorenzo Di Silvestro, G. Gallo, G. Giuffrida, C. Zarba
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Abstract

Today everyone on the Internet becomes an active writer. It is simpler than ever to produce and to share new knowledge on the net. Users risk to be overwhelmed by too much information. To handle unorganized data may involve a huge effort by people and this could lead to information overload. A promising way to face these problems is Information Visualization. This contribution is a report of using visuo-spatial reasoning to help sociology scholars to understand and to manage large amounts of textual data. We use a very interesting dataset, especially for sociologists and jurists, extracted from a collection of sentences of trials on organized crime activities in Sicily. We report the results obtained in so far clustering and visualizing data.
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有组织犯罪审判信息可视化
今天,互联网上的每个人都成为了活跃的作家。在网上生产和分享新知识比以往任何时候都要简单。用户有被太多信息淹没的风险。处理无组织的数据可能需要人们付出巨大的努力,这可能导致信息过载。面对这些问题的一个有希望的方法是信息可视化。这是一份使用视觉空间推理来帮助社会学学者理解和管理大量文本数据的报告。我们使用了一个非常有趣的数据集,特别是对社会学家和法学家来说,它是从西西里岛有组织犯罪活动审判的判决集合中提取出来的。我们报告了迄今为止在聚类和可视化数据中获得的结果。
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