id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-016576-1yqwci0y	Hu, Xiaohua	Mining Candidate Viruses as Potential Bio-terrorism Weapons from Biomedical Literature	2005		.txt	text/plain	2659	148	56	In this paper we present a semantic-based data mining approach to identify candidate viruses as potential bio-terrorism weapons from biomedical literature. If a virus is found in the different document sets obtained by several search keywords, the virus should be considered as suspicious and treated as candidate viruses for bio-terrorism. We propose an automated, semantic-based data mining system to identify viruses that can be used as potential weapons in bio-terrorism. Following the criteria established by Geissler and the similar ideas used by Swanson [10] , in the mining procedure, we consider many important properties of the virus such as the genetic aspects of virulence; airbone transmission of viral disease; and stability of viruses in air or aerosol mixtures etc.. We introduce an automated semantic-based search system, called Combinational Search based Virus Seeker (CSbVS), to identify viruses that can be used as potential weapons in bio-terrorism.	./cache/cord-016576-1yqwci0y.txt	./txt/cord-016576-1yqwci0y.txt