公共安全和个人安全中的大数据分析:挑战和潜力

Evmorfia Biliri, Panagiotis Kokkinakos, Ariadni Michalitsi, Dimitris Papaspyros, John Tsapelas, S. Mouzakitis, S. Koussouris, Yuri Glikman, Fabian Kirstein
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引用次数: 7

摘要

公共安全和个人安全组织需要实现并保持高水平的服务,同时管理公民的期望、立法的授权以及包括移动和物联网通信在内的新技术形式的影响。在此背景下,大数据和关联数据分析有望在公共安全和个人安全行业领域发挥关键作用。鉴于当前大数据和关联数据技术的最新发展,本文提出了在该领域实现高效和安全的大数据分析所面临的挑战,并提出了一个框架,该框架将数据、网络和技术结合在一起,为公共和个人安全相关的大数据创建一个精心策划、语义增强、相互关联和多语言的平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Big data analytics in public safety and personal security: Challenges and potential
Public safety and personal security organizations need to achieve and maintain high levels of service, while managing the expectations of citizens, the mandates of legislation, and the impacts of new forms of technology, including mobile and IoT communications. In this context, Big and Linked Data analysis is expected to play a key role in the domain of Public Safety and Personal security industries. The paper presents the challenges in achieving efficient and secure big data analysis in this domain, in view of the current state-of-the-art in big and linked data technologies, and proposes a framework that brings together the data, the network & the technologies to create a curated, semantically enhanced, interlinked & multilingual platform for public & personal safety-related big data.
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