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Book chapter
Multi-document Summarization for Terrorism Information Extraction
Intelligence and Security Informatics, pp 602-608
2006
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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Details
- Title
- Multi-document Summarization for Terrorism Information Extraction
- Creators
- Fu Lee Wang - City University of Hong KongChristopher C Yang - Chinese University of Hong KongXiaodong Shi - Chinese University of Hong Kong
- Publication Details
- Intelligence and Security Informatics, pp 602-608
- Series
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg; Berlin, Heidelberg
- Resource Type
- Book chapter
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:000238207800064
- Scopus ID
- 2-s2.0-33745904136
- Other Identifier
- 991021855190504721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Information Systems
- Computer Science, Interdisciplinary Applications
- Computer Science, Theory & Methods