Semantic network analysis offers a computational method for discovery, pattern matching, and reasoning with large amounts of unstructured, semi-structured and structured information. The Threat Anticipation Platform replaces more cumbersome and computationally complex forms of semantic inference with metrics on graph representations of labeled, directed semantic networked data to evaluate the evidence within multiple data sources for specified hypotheses about potential events.
Revised: September 4, 2013 |
Published: January 18, 2012
Citation
Burk R.K., R.K. Burk, M.D. Davis, M. Morara, S.W. Rust, A.R. Chappell, and M.L. Gregory, et al. 2012.Semantic Network Analysis for Evidence Evaluation: The Threat Anticipation Platform. In IEEE Network Science Workshop (NSW 2011), June 22-24, 2011, West Point, New York, 162-166. Piscataway, New Jersey:IEEE. PNWD-SA-9357. doi:10.1109/NSW.2011.6004641