Mining candidate viruses as potential bio-terrorism weapons from biomedical literature

Authors:
Xiaohua Hu;Illhoi Yoo;Peter Rumm;Michael Atwood
Affiliations:
College of Information Science and Technology, Drexel University, Philadelphia, PA;College of Information Science and Technology, Drexel University, Philadelphia, PA;School of Public Health, Drexel University, Philadelphia, PA;College of Information Science and Technology, Drexel University, Philadelphia, PA
Venue:
ISI'05 Proceedings of the 2005 IEEE international conference on Intelligence and Security Informatics
Year:
2005

Citing 1
Cited 1

Information discovery from complementary literatures: categorizing viruses as potential weapons

Journal of the American Society for Information Science and Technology - Visual based retrieval systems and web mining

Integration of instance-based learning and text mining for identification of potential virus/bacterium as bio-terrorism weapons

ISI'06 Proceedings of the 4th IEEE international conference on Intelligence and Security Informatics

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Abstract

In this paper we present a semantic-based data mining approach to identify candidate viruses as potential bio-terrorism weapons from biomedical literature. We first identify all the possible properties of viruses as search key words based on Geissler's 13 criteria; the identified properties are then defined using MeSH terms. Then, we assign each property an importance weight based on domain experts' judgment. After generating all the possible valid combinations of the properties, we search the biomedical literature, retrieving all the relevant documents. Next our method extracts virus names from the downloaded documents for each search keyword and identifies the novel connection of the virus according to these 4 properties. 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. Our findings are intended as a guide to the virus literature to support further studies that might then lead to appropriate defense and public health measures.