Multi-document summarization for terrorism information extraction

Fu Lee Wang; Christopher C. Yang; Xiaodong Shi

doi:10.1007/11760146_64

Multi-document summarization for terrorism information extraction

Fu Lee Wang
, Christopher C. Yang
, Xiaodong Shi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Citations (Scopus)

Abstract

Counter-terrorism 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.

Original language	English
Title of host publication	Intelligence and Security Informatics - IEEE International Conference on Intelligence and Security Informatics, ISI 2006, Proceedings
Pages	602-608
Number of pages	7
DOIs	https://doi.org/10.1007/11760146_64
Publication status	Published - 2006
Externally published	Yes
Event	IEEE International Conference on Intelligence and Security Informatics, ISI 2006 - San Diego, CA, United States Duration: 23 May 2006 → 24 May 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3975 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	IEEE International Conference on Intelligence and Security Informatics, ISI 2006
Country/Territory	United States
City	San Diego, CA
Period	23/05/06 → 24/05/06

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 16 Peace, Justice and Strong Institutions

Access to Document

10.1007/11760146_64

Cite this

Wang, F. L., Yang, C. C., & Shi, X. (2006). Multi-document summarization for terrorism information extraction. In Intelligence and Security Informatics - IEEE International Conference on Intelligence and Security Informatics, ISI 2006, Proceedings (pp. 602-608). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3975 LNCS). https://doi.org/10.1007/11760146_64

Wang, Fu Lee ; Yang, Christopher C. ; Shi, Xiaodong. / Multi-document summarization for terrorism information extraction. Intelligence and Security Informatics - IEEE International Conference on Intelligence and Security Informatics, ISI 2006, Proceedings. 2006. pp. 602-608 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{811bcec0a0f0434ca39f1e7bd7f17707,

title = "Multi-document summarization for terrorism information extraction",

abstract = "Counter-terrorism 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.",

author = "Wang, \{Fu Lee\} and Yang, \{Christopher C.\} and Xiaodong Shi",

year = "2006",

doi = "10.1007/11760146\_64",

language = "English",

isbn = "3540344780",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "602--608",

booktitle = "Intelligence and Security Informatics - IEEE International Conference on Intelligence and Security Informatics, ISI 2006, Proceedings",

note = "IEEE International Conference on Intelligence and Security Informatics, ISI 2006 ; Conference date: 23-05-2006 Through 24-05-2006",

}

Wang, FL, Yang, CC & Shi, X 2006, Multi-document summarization for terrorism information extraction. in Intelligence and Security Informatics - IEEE International Conference on Intelligence and Security Informatics, ISI 2006, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3975 LNCS, pp. 602-608, IEEE International Conference on Intelligence and Security Informatics, ISI 2006, San Diego, CA, United States, 23/05/06. https://doi.org/10.1007/11760146_64

Multi-document summarization for terrorism information extraction. / Wang, Fu Lee; Yang, Christopher C.; Shi, Xiaodong.
Intelligence and Security Informatics - IEEE International Conference on Intelligence and Security Informatics, ISI 2006, Proceedings. 2006. p. 602-608 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3975 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Multi-document summarization for terrorism information extraction

AU - Wang, Fu Lee

AU - Yang, Christopher C.

AU - Shi, Xiaodong

PY - 2006

Y1 - 2006

N2 - Counter-terrorism 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.

AB - Counter-terrorism 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.

UR - https://www.scopus.com/pages/publications/33745904136

U2 - 10.1007/11760146_64

DO - 10.1007/11760146_64

M3 - Conference contribution

AN - SCOPUS:33745904136

SN - 3540344780

SN - 9783540344780

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 602

EP - 608

BT - Intelligence and Security Informatics - IEEE International Conference on Intelligence and Security Informatics, ISI 2006, Proceedings

T2 - IEEE International Conference on Intelligence and Security Informatics, ISI 2006

Y2 - 23 May 2006 through 24 May 2006

ER -

Wang FL, Yang CC, Shi X. Multi-document summarization for terrorism information extraction. In Intelligence and Security Informatics - IEEE International Conference on Intelligence and Security Informatics, ISI 2006, Proceedings. 2006. p. 602-608. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11760146_64

Multi-document summarization for terrorism information extraction

Abstract

Publication series

Conference

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this