Semantic network analysis for evidence evaluation: The threat anticipation initiative

Robin Burk, Mark Davis, Michele Morara, Steve Rust, Alan Chappell, Michelle Gregory, Liam McGrath, Cliff Joslyn

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationProceedings of the 2011 IEEE 1st International Network Science Workshop, NSW 2011
Pages162-166
Number of pages5
DOIs
StatePublished - 2011
Externally publishedYes
Event2011 IEEE 1st International Network Science Workshop, NSW 2011 - West Point, NY, United States
Duration: Jun 22 2011Jun 24 2011

Publication series

NameProceedings of the 2011 IEEE 1st International Network Science Workshop, NSW 2011

Conference

Conference2011 IEEE 1st International Network Science Workshop, NSW 2011
Country/TerritoryUnited States
CityWest Point, NY
Period06/22/1106/24/11

Keywords

  • distance metrics
  • event representation
  • network analysis
  • semantic

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