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Event-Driven Document Selection for Terrorism Information Extraction

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Intelligence and Security Informatics (ISI 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3495))

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Abstract

In this paper, we examine the task of extracting information about terrorism related events hidden in a large document collection. The task assumes that a terrorism related event can be described by a set of entity and relation instances. To reduce the amount of time and efforts in extracting these event related instances, one should ideally perform the task on the relevant documents only. We have therefore proposed some document selection strategies based on information extraction (IE) patterns. Each strategy attempts to select one document at a time such that the gain of event related instance information is maximized. Our IE-based document selection strategies assume that some IE patterns are given to extract event instances. We conducted some experiments for one terrorism related event. Experiments have shown that our proposed IE based document selection strategies work well in the extraction task for news collections of various size.

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Author information

Authors and Affiliations

  1. Centre for Advanced Information Systems, School of Computer Engineering, Nanyang Technological University, Singapore, 639798, Singapore

    Zhen Sun, Ee-Peng Lim & Kuiyu Chang

  2. International Center for Political Violence and Terrorism Research, Institute of Defence and Strategic Studies, Nanyang Technological University, Singapore, 639798, Singapore

    Teng-Kwee Ong & Rohan Kumar Gunaratna

Authors
  1. Zhen Sun
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  2. Ee-Peng Lim
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  3. Kuiyu Chang
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  4. Teng-Kwee Ong
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  5. Rohan Kumar Gunaratna
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Editor information

Editors and Affiliations

  1. Department of Library and Information Science, Rutgers University,  

    Paul Kantor

  2. School of Communication, Information and Library Studies, Rutgers University, 4 Huntington Street, 08901-1071, New Brunswick, NJ, USA

    Gheorghe Muresan

  3. Artificial Solutions, Altonaer Poststraße 13b, 22767, Hamburg, Germany

    Fred Roberts

  4. MIS Department, University of Arizona, 85721, Tucson, AZ, USA

    Daniel D. Zeng

  5. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Fei-Yue Wang

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

    Hsinchun Chen

  7. College of Computing, Georgia Tech Information Security Center, Georgia Institute of Technology, 801 Atlantic Drive, 30332-0280, Atlanta, GA, USA

    Ralph C. Merkle

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© 2005 Springer-Verlag Berlin Heidelberg

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Cite this paper

Sun, Z., Lim, EP., Chang, K., Ong, TK., Gunaratna, R.K. (2005). Event-Driven Document Selection for Terrorism Information Extraction. In: Kantor, P., et al. Intelligence and Security Informatics. ISI 2005. Lecture Notes in Computer Science, vol 3495. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427995_4

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  • DOI: https://doi.org/10.1007/11427995_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25999-2

  • Online ISBN: 978-3-540-32063-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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