CRI: CRD - Developing a Dark Web Collection and Infrastructure for Computational and Social Sciences

CRI：CRD - 为计算和社会科学开发暗网集合和基础设施

• 批准号: 0709338
• 负责人: Hsinchun Chen
• 金额: $ 50万
• 依托单位: University of Arizona
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0709338&HistoricalAwards=false
• 关键词: CRI; CRD; Developing; Dark; Web

Researchers all over the world in a variety of disciplines are working on developing the means for understanding extremist groups, terrorism and terrorists: their effects on the world; how they communicate, organize and propagate themselves; how they are funded; and who they connect with and why. This project is intended to create a large archive, known as the ?Dark Web Archive,? and a research infrastructure for use by computer and information scientists as well as social scientists studying a wide range of computational problems and social and organizational phenomena. The archive will ultimately comprise testbed data containing thousands of multilingual websites and multimedia files by U.S. domestic, Middle Eastern, and Latin American terrorist and extremist groups.The intent is to support computer and information science (CIS) researchers in using the Dark Web archive for a wide range of exercises: to develop video and voice recognition technologies, advance information retrieval techniques whether in English or other languages, and improve methodologies in data and text mining as well as machine learning and artificial intelligence. Social scientists will also be able to use the archive, for example, to study dynamic ?dark? networks and the linkages or relationships between organizations, examine use of the web by extremist/terrorist groups, and study the inter-relationship of culture, religion and politics. The Dark Web archive will support the comparison of current and historical data, minimize manual analysis by researchers in the social sciences; and enable the replication of experiments by researchers. In addition to supporting researchers in information, computer and social sciences, this project will also have some utility for the national security sector, including law enforcement and the intelligence community.The project Web site (http://ai.arizona.edu/research/terror/CRDabstract.htm) provides access to the Dark Web archive, research infrastructure, and additional information.

世界各地不同学科的研究人员正在努力开发手段，以了解极端主义团体、恐怖主义和恐怖分子：它们对世界的影响；它们如何交流、组织和宣传自己；它们是如何获得资金的；它们与谁和为什么联系。这个项目的目的是创建一个大型档案，称为？黑暗网络档案，？以及供计算机和信息科学家以及社会科学家使用的研究基础设施，研究范围广泛的计算问题以及社会和组织现象。该档案最终将包括美国国内、中东和拉丁美洲恐怖和极端组织的数千个多语言网站和多媒体文件的试验台数据。其目的是支持计算机和信息科学(CIS)研究人员利用黑暗网络档案进行广泛的练习：开发视频和语音识别技术，改进英语或其他语言的信息检索技术，改进数据和文本挖掘以及机器学习和人工智能的方法。社会科学家还将能够使用档案，例如，研究动态？黑暗？网络和组织之间的联系或关系，审查极端主义/恐怖团体利用网络，并研究文化、宗教和政治之间的相互关系。Dark Web档案将支持当前和历史数据的比较，最大限度地减少社会科学研究人员的人工分析，并使研究人员能够复制实验。除了支持信息、计算机和社会科学的研究人员外，该项目还将为国家安全部门提供一些实用工具，包括执法和情报部门。该项目的网站(http://ai.arizona.edu/research/terror/CRDabstract.htm)提供对黑暗网络档案、研究基础设施和其他信息的访问。