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Filtering, Fusion and Dynamic Information Presentation: Towards a General Information Firewall

  • Gregory Conti
  • Mustaque Ahamad
  • Robert Norback
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3495)

Abstract

Intelligence analysts are flooded with massive amounts of data from a multitude of sources and in many formats. From this raw data they attempt to gain insight that will provide decision makers with the right information at the right time. Data quality varies from very high quality data generated by reputable sources to misleading and very low quality data generated by malicious entities. Disparate organizations and databases, global collection networks and international language differences further hamper the analyst’s job. We present a web based information firewall to help counter these problems. It allows analysts to collaboratively customize web content by the creation and sharing of dynamic knowledge-based user interfaces that greatly improve data quality, and hence analyst effectiveness, through filtering, fusion and dynamic transformation techniques. Our results indicate that this approach is not only effective, but will scale to support large entities within the Intelligence Community.

Keywords

Improve Data Quality Intelligence Community Provide Decision Maker Real Simple Syndication Malicious Entity 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Gregory Conti
    • 1
  • Mustaque Ahamad
    • 1
  • Robert Norback
    • 1
  1. 1.Georgia Tech Information Security CenterGeorgia Institute of TechnologyAtlantaUSA

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