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Bio-surveillance Event Models, Open Source Intelligence, and the Semantic Web

  • Nancy Grady
  • Lowell Vizenor
  • Jeanne Sappington Marin
  • Laura Peitersen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5354)

Abstract

Surveillance applications to monitor health-related data have matured rapidly over the last several years. A newly emerging development is an emphasis on harvesting and evaluating the timely but potentially inaccurate information present in unstructured sources such as Internet news feeds and sites. An important development for the surveillance on both structured and unstructured datasets is the exchange not of the primary datasets that feed these systems, but of the evaluated results of such analysis. This paper introduces recent work addressing a model for the recording and tracking of events and for the dissemination of information about these events to other agencies. It will introduce a structured relational database model for events, an ontology for infectious disease events, and a semantic web representation. The strengths and weaknesses of the three approaches and future directions will be discussed.

Keywords

Biosurveillance open source intelligence event model ontology semantic web 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Nancy Grady
    • 1
  • Lowell Vizenor
    • 2
    • 3
  • Jeanne Sappington Marin
    • 4
  • Laura Peitersen
    • 5
  1. 1.Science Applications International CorporationOak RidgeUSA
  2. 2.Computer Task GroupBuffaloUSA
  3. 3.Formerly of Ontology WorksBaltimoreUSA
  4. 4.Science Applications International Corporation, 1001 Research ParkCharlottesvilleUSA
  5. 5.Science Applications International CorporationVirginiaUSA

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