CAREER: Eyes of the Foreseer - Integrative and In Situ Information Retrieval and Mining in Online Communities
CAREER: Eyes of the Foreseer - Integrative and In Situ Information Retrieval and Mining in Online Communities
批准号:
1054199
负责人:
Qiaozhu Mei
金额:
$44.95万
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
项目状态:
已结题
起止时间:
2011-01-15 至 2017-12-31
中文摘要
随着在线社区的发展,Web已经从共享文档的网络演变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造者和消费者,因此,这些发现只对数据分析师有用。以用户为中心的Prereseer是针对在线社区的下一代信息分析。它通过四个“C”代表了一种新的研究范式:内容、上下文、人群和云。内容的信息分析被放在用户日常生活的背景下,以造福于产生驻留在云中的信息的社区(人群)。该项目提供对在线社区产生的信息的综合和现场分析,这些信息是关于人民的、由人民产生的和为人民的。Foreseer的研究包括正式的社区模型、高效的数据分析工具、实际应用的高级解决方案和新颖的信息系统。将结果提供给日常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、公共舆论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卫生信息学中开设一些新的课程。研究结果也将在项目网站(http://www-personal.umich.edu/~qmei/foreseer/).上公布
英文摘要
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/).
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会议论文
NSF Student Travel Grant for 2017 Conference on Knowledge Discovery and Data Mining (KDD 2017)
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批准号:1742808
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项目类别:Standard Grant
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资助金额:$2.5万
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财政年份:2017
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负责人:Qiaozhu Mei
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依托单位:
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批准号:1633370
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项目类别:Standard Grant
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资助金额:$49.97万
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财政年份:2016
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负责人:Qiaozhu Mei
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依托单位:
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批准号:1048168
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项目类别:Standard Grant
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资助金额:$21.5万
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财政年份:2011
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负责人:Qiaozhu Mei
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依托单位:
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批准号:0968489
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项目类别:Standard Grant
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资助金额:$75.0万
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财政年份:2010
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负责人:Qiaozhu Mei
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依托单位:
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批准号:61462053
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项目类别:地区科学基金项目
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资助金额:45.0万元
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批准年份:2014
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负责人:王锋
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依托单位: