Hu, XH; Yoo, I; Rumm, P; Atwood, M "Mining candidate viruses as potential bio-terrorism weapons from biomedical literature " Intelligence and Security Informatics, Proceedings. 3495. 2005. p.60-71 Springer-Verlag, Berlin

[Eugene Garfield]

E-mail:      xiaohua.hu at drexel.edu

TITLE:          Mining candidate viruses as potential bio-terrorism
                weapons from biomedical literature (Article, English)
AUTHOR:         Hu, XH; Yoo, I; Rumm, P; Atwood, M
SOURCE:         INTELLIGENCE AND SECURITY INFORMATICS, PROCEEDINGS 3495.
                2005. p.60-71 SPRINGER-VERLAG BERLIN, BERLIN

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.

AUTHOR ADDRESS: XH Hu, Drexel Univ, Coll Informat Sci & Technol,
                Philadelphia, PA 19104 USA