MiTAP for SARS Detection
July 2004
Laurie E. Damianos, The MITRE Corporation
Samuel Bayer, The MITRE Corporation
Michael A. Chisholm, The MITRE Corporation
John Henderson, The MITRE Corporation
Lynette Hirschman, The MITRE Corporation
William Morgan, The MITRE Corporation
Marc Ubaldino, The MITRE Corporation
Guido Zarrella, The MITRE Corporation
James M. Wilson, Division of Integrated Biodefense, ISIS Center, Georgetown University
Marat G. Polyak, Division of Integrated Biodefense, ISIS Center, Georgetown University
ABSTRACT
The MiTAP prototype for SARS detection uses human language technology for detect-ing, monitoring, and analyzing potential indi-cators of infectious disease outbreaks and reasoning for issuing warnings and alerts. Mi-TAP focuses on providing timely, multi-lingual information access to analysts, domain experts, and decision-makers worldwide. Data sources are captured, filtered, translated, summarized, and categorized by content. Critical information is automatically extracted and tagged to facilitate browsing, searching, and scanning, and to provide key terms at a glance. The processed articles are made avail-able through an easy-to-use news server and cross-language information retrieval system for access and analysis anywhere, any time. Specialized newsgroups and customizable fil-ters or searches on incoming stories allow us-ers to create their own view into the data while a variety of tools summarize, indicate trends, and provide alerts to potentially rele-vant spikes of activity.
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