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

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Biosurveillance and Biosecurity (BioSecure 2008)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 5354))

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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.

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Author information

Authors and Affiliations

  1. Science Applications International Corporation, 301 Laboratory Road, Oak Ridge, TN, 37831, USA

    Nancy Grady

  2. Computer Task Group, 701 Ellicott Street, Suite B2-146, Buffalo, NY, 14203, USA

    Lowell Vizenor

  3. Formerly of Ontology Works, 3600 O’Donnell St. Suite 600, Baltimore, MD, 21224, USA

    Lowell Vizenor

  4. Science Applications International Corporation, 1001 Research Park, Boulevard Suite 302, Charlottesville, VA, 22911, USA

    Jeanne Sappington Marin

  5. Science Applications International Corporation, 1235 South Clark Street, Suite 610, Arlington, Virginia, 22202, USA

    Laura Peitersen

Authors
  1. Nancy Grady
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  2. Lowell Vizenor
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  3. Jeanne Sappington Marin
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  4. Laura Peitersen
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Editor information

Editors and Affiliations

  1. MIS Department, University of Arizona and Chinese Academy of Sciences, Tucson, AZ, USA

    Daniel Zeng

  2. Department of Management Information Systems, Eller College of Management, The University of Arizona, 85721, AZ, USA

    Hsinchun Chen

  3. US CDC, National Center for Public Health Informatics, Atlanta, GA, USA

    Henry Rolka

  4. University of Washington, Health Sciences Building, 1959 NE Pacific St., WA 98195, Seattle, USA

    Bill Lober

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© 2008 Springer-Verlag Berlin Heidelberg

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Grady, N., Vizenor, L., Marin, J.S., Peitersen, L. (2008). Bio-surveillance Event Models, Open Source Intelligence, and the Semantic Web. In: Zeng, D., Chen, H., Rolka, H., Lober, B. (eds) Biosurveillance and Biosecurity . BioSecure 2008. Lecture Notes in Computer Science(), vol 5354. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89746-0_3

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  • DOI: https://doi.org/10.1007/978-3-540-89746-0_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89745-3

  • Online ISBN: 978-3-540-89746-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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