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Integrated Feasibility Experiment for Bio-Security: IFE-Bio, A TIDES Demonstration

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Research paper

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As part of its work under the DARPA TIDES program, MITRE is preparing a series of demonstrations to showcase the TIDES Integrated Feasibility Experiment on Bio-Security IFE-Bio. The current demonstration illustrates some of the resources that can be made available to analysts tasked with monitoring infectious disease outbreaks and other biological threats. The long-term goal of TIDES is to provide delivery of information on demand in real-time from live on-line sources. For IFE-Bio, the resources made available to the analyst include e-mail, news groups, digital library resources, and topic-specific segments from broadcast news. Because of the emphasis on global monitoring, there is a need to process incoming information in multiple languages. The system must deliver the appropriate information content in the appropriate form and in the appropriate language. This means that the IFE-Bio system will have to deliver news stories, clusters of relevant documents, threaded discussions, alerts on new events, tables, summaries, answers to questions, graphs and geospatial temporal displays of information. The demonstration system for the Human Language Technology Conference in March 2001 represents an early stage of the full IFE-Bio system, with an emphasis on end-to-end processing. Future demonstrations will make use of MITREs Catalyst architecture, an efficient, scalable architecture to facilitate integration of multiple stages of linguistic processing. By June 2001, the IFE-Bio system will provide richer linguistic processing through the integration of modules contributed by other TIDES participants. By June 2002, the system will include additional functionality, such as real-time broadcast news feeds, new machine translation components, support for question answering, cross-language information retrieval, multi-document summarization, automatic extraction and normalization of temporal and spatial information, and automated geospatial and temporal displays.

Subject Categories:

  • Information Science
  • Linguistics
  • Medicine and Medical Research
  • Computer Systems

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