SGER: DL-VT416: A Digital Library Testbed for Research Related to 4/16/2007 at Virginia Tech

数字图书馆(http://recovery.dlib.vt.edu))旨在支持与2007年4月16日上午发生在弗吉尼亚州布莱克斯堡的弗吉尼亚理工大学校园的悲剧有关的广泛研究以及普通公众的查询，当时大学社区的33名成员被一名学生出身的枪手杀害。有一个相关内容的目录，以及从各种来源提交的精选数据和多媒体信息。这些资料将被纳入由大学图书馆永久支持的“弗吉尼亚理工大学图书馆档案馆”。目标受众包括那些对在高度互联的环境中(例如，在弗吉尼亚州最大的大学社区，位于布莱克斯堡电子村的中心)技术如何帮助检测、预防和应对灾难感兴趣的人。一个关键问题是，数字图书馆如何在快速反应的环境下工作，以及如何研究悲剧的后果。该项目的主旨是使用5S理论(即，具有正式定义的基本概念：流、结构、空间、场景和社会)为不同的用户社区开发快速原型定制系统，这为分布式内容和服务的集成提供了基础。该项目将导致大规模数字图书馆的理论和软件支持的发展，使研究人员能够应用紧密耦合的数据挖掘和可视化服务，例如，可以有效和方便地分析归档内容，从而可以发现趋势和离群值。计算机和信息科学家遵循法律、政策和以人为本的指导方针，可以研究由此产生的内容、服务、使用日志等试验平台的部分或全部。学者和公众广泛使用数字图书馆，以及通过WWW、出版物和演示文稿传播结果，将确保最广泛的影响。

A digital library (http://recovery.dlib.vt.edu) is designed to support a wide range of research studies, as well as inquiries from the general public, related to the tragedy that occurred during the morning of April 16, 2007 on the Virginia Tech campus in Blacksburg, VA when 33 members of the university community were killed by a student turned gunman. There is a catalog of related content, along with selected data and multimedia information, submitted from a variety of sources. These will be incorporated in the "Virginia Tech 4-16-07 Library Archive", permanently supported by University Libraries.The target audience includes those interested in how technology aids detection, prevention, and responding to disasters in highly connected settings (e.g., in Virginia's largest university community, at the heart of the Blacksburg Electronic Village). A key question is how digital libraries can work in rapid-response settings, as well as for studying the aftermath of tragedies. The thrust of this project is development of rapidly prototyped tailored systems for diverse user communities using the 5S theory (i.e., with formally defined underlying concepts: Streams, Structures, Spaces, Scenarios, and Societies), which provides a foundation for integration of distributed content and services. This project will lead to development of the theory and software support for large scale digital libraries that also allow researchers to apply closely-coupled data mining and visualization services, e.g., so that archived content can be efficiently and conveniently analyzed, and so that trends and outliers can be spotted. Computer and information scientists, following legal, policy, and human-subject guidelines, can study portions, or the whole complex, of the resulting testbed - of content, services, usage logs, etc.Wide use of the digital library by scholars and the public, as well as dissemination of results, through the WWW, publications, and presentations, will ensure the broadest impact.