@article{ref1,
title="Gleaning disaster related information from world wide web using GATE",
journal="Journal of theoretical and applied information technology",
year="2012",
author="Ahmed, Ijaz and Ilyas, Qazi Mudassar and Ajoon, Javeria and Afzal, Mehtab",
volume="40",
number="2",
pages="135-142",
abstract="SAHARA is a framework proposed by the authors of this paper to integrate Semantic Web and Natural Language Processing tools, to timely collect and disseminate disaster information to stakeholders to help in disaster management. This paper is related with information extraction component of SAHARA and presents a set of rules developed in GATE to extract disaster related information from online text resources. The developed pattern-action rules can be used to extract disaster entities including disaster location, type, magnitude, date and number of dead, injured, lost, homeless and affected people. A corpora is developed for various types of disasters such as earthquakes, hurricanes, floods, tsunami, forest fires, suicide bombing and military operations. The developed rule set is tested against this corpora. We achieved varying results for overall precision, recall and f-measure of extracted entities. The best results were achieved for disaster magnitude and the worst for date and time.  2005 - 2012 JATIT  LLS. All rights reserved.<p />",
language="",
issn="1992-8645",
doi="",
url="http://dx.doi.org/"
}