A platform for discovering and sharing confidential ballistic crime data

Simeon J. Yates, Babak Akhgar, Christopher D. Bates, Lukasz Jopek, Richard Wilson
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引用次数: 2

Abstract

Criminal investigations generate large volumes of complex data that detectives have to analyse and understand. This data tend to be "i¾˜siloed' within individual jurisdictions and re-using it in other investigations can be difficult. Investigations into trans-national crimes are hampered by the problem of discovering relevant data held by agencies in other countries and of sharing those data. Gun-crimes are one major type of incident that showcases this: guns are easily moved across borders and used in multiple crimes but finding that a weapon was used elsewhere in Europe is difficult. In this paper we report on the Odyssey Project, an EU-funded initiative to mine, manipulate and share data about weapons and crimes. The project demonstrates the automatic combining of data from disparate repositories for cross-correlation and automated analysis. The data arrive from different cultural/domains with multiple reference models using real-time data feeds and historical databases.
一个发现和共享机密弹道犯罪数据的平台
刑事调查产生了大量复杂的数据,侦探必须对这些数据进行分析和理解。这些数据往往“孤立”在个别司法管辖区,在其他调查中重新使用可能很困难。发现其他国家机构持有的有关数据和分享这些数据的问题阻碍了对跨国犯罪的调查。枪支犯罪是一种主要类型的事件,表明了这一点:枪支很容易跨越国界,并用于多种犯罪,但要发现在欧洲其他地方使用的武器是困难的。在本文中,我们报道了奥德赛项目,这是一个欧盟资助的项目,旨在挖掘、操纵和共享有关武器和犯罪的数据。该项目演示了来自不同存储库的数据的自动组合,以进行相互关联和自动分析。这些数据来自不同的文化/领域,带有多个参考模型,使用实时数据源和历史数据库。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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