CAREER: Eyes of the Foreseer - Integrative and In Situ Information Retrieval and Mining in Online Communities

职业：预见者之眼 - 在线社区中的集成和原位信息检索和挖掘

• 批准号: 1054199
• 负责人: Qiaozhu Mei
• 金额: $ 44.95万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-01-15 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1054199&HistoricalAwards=false
• 关键词: CAREER; Eyes; Foreseer; Integrative; Situ

With the growth of online communities, the Web has evolved from networks of shared documents to networks of knowledge-sharing groups and individuals. A vast amount of heterogeneous yet interrelated information is being generated for which existing information analysis techniques are inadequate. Current tools often neglect the actual creators and consumers of information, and as a result, the findings are only useful to data analysts. The user-centric Foreseer is the next generation of information analysis for online communities. It represents a new paradigm of study through the four "C's": content, context, crowd, and cloud. Information analysis of content is put into the context of the users' daily lives to benefit the communities (crowd) that generate information residing in the cloud. This project provides integrative and in situ analysis of information generated in online communities that is of the people, by the people, and for the people. Research of Foreseer consists of formal community models, efficient data analysis tools, advanced solutions of real applications, and novel information systems.Making the results available to everyday Web users, not just data analysts, will result in improved dissemination of ideas, shared public opinions, and wise decision-making in online communities. Novel Web-based information systems will form prototypes that can be used in online social and health communities. The research will enhance the current information analysis and retrieval curricula and lead to a number of new classes in information science and health informatics. Research results will also be published on the project Web site (http://www-personal.umich.edu/~qmei/foreseer/).

随着在线社区的发展，Web已经从共享文件的网络发展成为知识共享团体和个人的网络。正在产生大量不同但相互关联的信息，现有的信息分析技术不足以处理这些信息。目前的工具往往忽略了信息的实际创建者和消费者，因此，这些发现只对数据分析师有用。以用户为中心的Foreseer是在线社区的下一代信息分析。它代表了一种通过四个“C”进行研究的新范式：内容，上下文，人群和云。内容的信息分析被置于用户日常生活的背景中，以使生成驻留在云中的信息的社区（人群）受益。该项目对在线社区中产生的信息进行综合和现场分析，这些信息属于人民，由人民和为人民。Foreseer的研究包括正式的社区模型、有效的数据分析工具、真实的应用的高级解决方案和新颖的信息系统。将研究结果提供给日常的Web用户，而不仅仅是数据分析师，将导致在线社区中思想的传播、公共意见的共享和明智的决策。新的基于网络的信息系统将形成可用于在线社交和健康社区的原型。这项研究将加强目前的信息分析和检索课程，并导致在信息科学和健康信息学的一些新的类。研究结果也将在项目网址上公布（http：//www-personal.umich.edu/foreseer/）。