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Automatic extraction of abbreviation for emergency management websites
Min Song
author
Peishih Chang
author
2008
Information Systems for Crisis Response and Management, ISCRAM
Washington, DC
English
In this paper we present a novel approach to reduce information proliferation and aid better information structure by automatically generating extraction of abbreviation for emergency management websites. 5.7 Giga Byte web data from 624 emergency management related web sites is collected and a list of acronyms is automatically generated by proposed system (AbbrevExtractor). Being the first attempt of applying abbreviation extraction to the field, this work is expected to provide comprehensive and timely information for emergency management communities in emergency preparedness, training and education. Future work is likely to involve more data collection and intelligent text analysis for dynamically maintaining and updating the list of acronyms and abbreviations.
Civil defense
Disasters
Extraction
Information systems
Risk management
Websites
Acronyms and abbreviations
Automatically generated
Emergency management
Emergency preparedness
Information structures
Text analysis
Training and education
Web Mining
Information management
exported from refbase (http://idl.iscram.org/show.php?record=965), last updated on Sun, 09 Aug 2015 07:08:53 +0200
text
http://idl.iscram.org/files/song/2008/965_Song+Chang2008.pdf
MinSong+PeishihChang2008
Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management
ISCRAM 2008
F. Fiedrich
B
Van
de
Walle
editor
5th International ISCRAM Conference on Information Systems for Crisis Response and Management
2008
Information Systems for Crisis Response and Management, ISCRAM
Washington, DC
conference publication
93
100
9780615206974
2411-3387
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