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.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
The Association of State and Territorial Health Officials (ASTHO). Public Health Prepar-edness: A Progress Report – First Six Months (ATAIP Indicators Project) (2003)
Büchen-Osmond, C.: Taxonomy and Classification of Viruses. In: Manual of Clinical Microbiology, 8th edn., vol. 2, pp. 1217–1226. ASM Press, Washington (2003)
Diaz, R., et al.: National Advisory Committee on Children and Terrorism – Report to the Secretary of DHHS (2003)
DiGiacome, R.A., Kremer, J.M., Shah, D.M.: Fish oil dietary supplementation is patients with Raynaud’s phenomenon: A double-blind, controlled, prospective study. American Journal of Medicine 8, 158–164 (1989)
Frist, B.: When Every Moment Counts – What You Need to Know About Bio-terrorism from the Senate’s Only Doctor. Rowman and Littlefield (2002)
Geissler, E. (ed.): Biological and toxin weapons today. SIPRI, Oxford (1986)
Gray, G.C., Callahan, J.D., Hawksworth, A.K., Fisher, C.A., Gaydos, J.C.: Respiratory diseases among U.S. military personnel: countering emerging threats. Emerging Infectious Disease 5(3), 379–387 (1999)
Gursky, E.A.: Drafted to Fight Terror. U.S. Public Health on the Front Lines of Biological Defense, ANSER (2004)
Lane, S.P., Beugelsdijk, T., Patel, C.K.: FirePower in the Lab – Automation in the Fight Against Infectious Diseases and Bioterrorism. John Henry Press, DC (1999)
Swanson, D.R., Smalheiser, N.R., Bookstein, A.: Information discovery from complementary literatures: categorizing viruses as potential weapons. JASIST 52(10), 797–812 (2001)
Swanson, D.: Fish-oil, Raynaud’s Syndrome, and undiscovered public knowledge. Perspectives in Biology and Medicine 30(1), 7–18 (1986)
Swanson, D.: Undiscovered public knowledge. Libr. Q. 56(2), 103–118 (1986)
Web site updated regularly by the Agency for Health Care Research and Quality, US DHHS on bioterrorism and emerging infectious disease agents accessible at: http://www.bioterrorism.uab.edu/EIPBA/vhf/summary.html
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hu, X., Yoo, I., Rumm, P., Atwood, M. (2005). Mining Candidate Viruses as Potential Bio-terrorism Weapons from Biomedical Literature. In: Kantor, P., et al. Intelligence and Security Informatics. ISI 2005. Lecture Notes in Computer Science, vol 3495. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427995_6
Download citation
DOI: https://doi.org/10.1007/11427995_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25999-2
Online ISBN: 978-3-540-32063-0
eBook Packages: Computer ScienceComputer Science (R0)