DocumentCode :
3079552
Title :
Semantic network analysis for evidence evaluation: The threat anticipation initiative
Author :
Burk, Robin ; Davis, Mark ; Morara, Michele ; Rust, Steve ; Chappell, Alan ; Gregory, Michelle ; McGrath, Liam ; Joslyn, Cliff
Author_Institution :
Battelle Memorial Inst., Columbus, OH, USA
fYear :
2011
fDate :
22-24 June 2011
Firstpage :
162
Lastpage :
166
Abstract :
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 identify the degree of evidence within multiple data sources for specified hypotheses about potential events.
Keywords :
graph theory; inference mechanisms; pattern matching; semantic networks; computational method; directed semantic networked data; evidence evaluation; graph representations; pattern matching; semantic inference; semantic network analysis; threat anticipation platform; Accuracy; Data mining; Databases; Measurement; Ontologies; Semantics; Terrorism; distance metrics; event representation; network analysis; semantic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Network Science Workshop (NSW), 2011 IEEE
Conference_Location :
West Point, NY
Print_ISBN :
978-1-4577-1049-0
Type :
conf
DOI :
10.1109/NSW.2011.6004641
Filename :
6004641
Link To Document :
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