Abstract
Counterterrorism is one of the major challenges to the society. In order to flight again the terrorists, it is very important to have a through understanding of the terrorism incidents. However, it is impossible for a human to read all the information related to a terrorism incident because of the large volume of information. Summarization technique is urgently required for analysis of terrorism incident. In this work, we propose a multi-document summarization system to extract the critical information from terrorism incidents. News stories of a terrorism incident are organized into a hierarchical tree structure. Fractal summarization model is employed to generate a summary for all the news stories. Experimental results show that our system can effectively extract the most important information for the incident.
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© 2006 Springer-Verlag Berlin Heidelberg
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Wang, F.L., Yang, C.C., Shi, X. (2006). Multi-document Summarization for Terrorism Information Extraction. In: Mehrotra, S., Zeng, D.D., Chen, H., Thuraisingham, B., Wang, FY. (eds) Intelligence and Security Informatics. ISI 2006. Lecture Notes in Computer Science, vol 3975. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760146_64
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DOI: https://doi.org/10.1007/11760146_64
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34478-0
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