Complementary structures in disjoint science literatures
SIGIR '91 Proceedings of the 14th annual international ACM SIGIR conference on Research and development in information retrieval
An interactive system for finding complementary literatures: a stimulus to scientific discovery
Artificial Intelligence - Special issue on scientific discovery
The invisible substrate of information science
Journal of the American Society for Information Science - Special issue on the 50th anniversary of the Journal of The American Society for Information Science: part 2: paradigms, models and methods of information science
Text mining: generating hypotheses from MEDLINE
Journal of the American Society for Information Science and Technology
Connecting topics in document collections with stepping stones and pathways
Proceedings of the 14th ACM international conference on Information and knowledge management
Mining scientific literature to predict new relationships
Intelligent Data Analysis
Prototypical case mining from biomedical literature for bootstrapping a case base
Applied Intelligence
Information-centered research for large-scale analyses of new information sources
Journal of the American Society for Information Science and Technology
Computer Methods and Programs in Biomedicine
Concept mining for indexing medical literature
Engineering Applications of Artificial Intelligence
From Keyword Search to Exploration: Designing Future Search Interfaces for the Web
Foundations and Trends in Web Science
Journal of the American Society for Information Science and Technology
Mining medline for new possible relations of concepts
CIS'04 Proceedings of the First international conference on Computational and Information Science
Investigation of the changes of temporal topic profiles in biomedical literature
KDLL'06 Proceedings of the 2006 international conference on Knowledge Discovery in Life Science Literature
ISI'06 Proceedings of the 4th IEEE international conference on Intelligence and Security Informatics
Concept mining for indexing medical literature
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
The arrowsmith project: 2005 status report
DS'05 Proceedings of the 8th international conference on Discovery Science
Mining candidate viruses as potential bio-terrorism weapons from biomedical literature
ISI'05 Proceedings of the 2005 IEEE international conference on Intelligence and Security Informatics
Named relationship mining from medical literature
ICDM'06 Proceedings of the 6th Industrial Conference on Data Mining conference on Advances in Data Mining: applications in Medicine, Web Mining, Marketing, Image and Signal Mining
Literature-based discovery: Beyond the ABCs
Journal of the American Society for Information Science and Technology
Hi-index | 0.00 |
Using novel informatics techniques to process the output of Medline searches, we have generated a list of viruses that may have the potential for development as weapons. 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. This article stresses methods that are more generally relevant to information science. Initial Medline searches identified two kinds of virus literatures---the first concerning the genetic aspects of virulence, and the second concerning the transmission of viral diseases. Both literatures taken together are of central importance in identifying research relevant to the development of biological weapons. Yet, the two literatures had very few articles in common. We downloaded the Medline records for each of the two literatures and used a computer to extract all virus terms common to both. The fact that the resulting virus list includes most of an earlier independently published list of viruses considered by military experts to have the highest threat as potential biological weapons served as a test of the method; the test outcome showed a high degree of statistical significance, thus supporting an inference that the new viruses on the list share certain important characteristics with viruses of known biological warfare interest.