Aggregating to Inform

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Montana State University

Project proposal for initial A2I Alpha Project at Calit2

Technology Education

Aggregating to Inform

An Infrastructure for Analyzing and Understanding
Global Web Events

Jerry Sheehan, Manager for Government Program Development
University of California at San Diego

February 2006

Visual Model of Information
Distribution

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Aggregating to Inform

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Aggregating to Inform

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Aggregating to Inform

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With the popularity of Twitter, there has been voluminous growth in the digital footprints of real-life events in the Internet. The references to different types of events in Twitter have the potential to provide extremely valuable information to researchers and organizations, which could be mined and analyzed for making major decisions. There are tremendous applications in the areas of real-life event analysis, opinion mining, reference tracking, online advertising, recommendation engines, cyber security, event management, enterprise data integration, among others. Thus, there is a need of a generic framework that can collect different event references, extract identity information of the events from them and maintain the information persistently for resolving new references to the events and provide updated analytics. The presented research establishes the design and implementation of such a framework from the perspective of Event Identity Information Management (EIIM) in the domain of Twitter. The paper introduces the problem of EIIM in Twitter, discusses the prevalent challenges and proposes the design of a framework capable of managing persistent identity information of pre-specified set of events. We explore the applications of the research, validate the different components of the framework and conclude with our comments on various criteria showing high efficacy and practical utility of our proposed framework.

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Aggregating to Inform

1. Aggregating to Inform An Infrastructure for Analyzing and Understanding Global Web Events Jerry Sheehan, Manager for Government Program Development University of California at San Diego February 2006

2. Visual Model of Information Distribution

3. Google Maps Formal News Source Informal News Source Newspaper of Record RSS Photoblogs The Katrina Information Experience