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Scalable Knowledge Extraction from Legacy Sources with SEEK

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Intelligence and Security Informatics (ISI 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2665))

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Abstract

The SEEK project (Scalable Extraction of Enterprise Knowledge) at the University of Florida is directed toward developing scaleable data access and extraction technology for overcoming problems of assembling and integrating knowledge resident in numerous legacy information systems. Additionally, this integrated information would be made available for analysis and decision-support. Development of theory and knowledge in this area is relevant to many applications that depend on integrated access to heterogeneous information including detection/prevention of terrorist attacks, tactical situation analysis in battlefields, etc. SEEK is a modular toolkit that provides the ability to extract and compose knowledge resident in sources to enable the rapid instantiation and configuration of value-added wrappers and mediators.

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Author information

Authors and Affiliations

  1. Department of Computer & Information Science & Engineering, University of Florida, 301 CSE Building, Box 116120, Gainesville, FL, 32611-6120, USA

    Joachim Hammer & Mark Schmalz

  2. M.E. Rinker, Sr. School of Building Construction, University of Florida, 304 Rinker Hall, Box 115703, Gainesville, FL, 32611-5703, USA

    William O’Brien

Authors
  1. Joachim Hammer
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  2. William O’Brien
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  3. Mark Schmalz
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Editor information

Editors and Affiliations

  1. Department of Management Information Systems, University of Arizona, Tucson, AZ, 85721, USA

    Hsinchun Chen , Daniel D. Zeng  & Therani Madhusudan ,  & 

  2. Tucson Police Department, 270 S. Stone Ave., Tucson, AZ, 85701, USA

    Richard Miranda  & Jenny Schroeder  & 

  3. School of Public Administration and Policy, University of Arizona, Tucson, AZ, 85721, USA

    Chris Demchak

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© 2003 Springer-Verlag Berlin Heidelberg

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Hammer, J., O’Brien, W., Schmalz, M. (2003). Scalable Knowledge Extraction from Legacy Sources with SEEK. In: Chen, H., Miranda, R., Zeng, D.D., Demchak, C., Schroeder, J., Madhusudan, T. (eds) Intelligence and Security Informatics. ISI 2003. Lecture Notes in Computer Science, vol 2665. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44853-5_27

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  • DOI: https://doi.org/10.1007/3-540-44853-5_27

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40189-6

  • Online ISBN: 978-3-540-44853-2

  • eBook Packages: Springer Book Archive

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