• 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
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3079552