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Graphical methods for real-time fusion and estimation with soft message data

  • CUBRC
  • D'Youville College

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

50 Scopus citations

Abstract

Fusion of observational data acquired by human observers and couched in linguistic form is a modern-day challenge for the fusion community. This paper describes a basic research effort examining various strategies for associating and exploiting such data for intelligence analysis purposes. An overall approach is described that involves Latent Semantic Analysis, Inexact Graph Matching, formal ontology development, and Social Network Analyses. Not all the methods have yet been employed but the exploitation of the developed ontology and graphical techniques have been implemented in a working prototype and preliminary results have shown promise. Planned future research will complete the implementation of the methods described herein and add yet further enhancements.

Original languageEnglish
Title of host publicationProceedings of the 11th International Conference on Information Fusion, FUSION 2008
DOIs
StatePublished - 2008
Event11th International Conference on Information Fusion, FUSION 2008 - Cologne, Germany
Duration: Jun 30 2008Jul 3 2008

Publication series

NameProceedings of the 11th International Conference on Information Fusion, FUSION 2008

Conference

Conference11th International Conference on Information Fusion, FUSION 2008
Country/TerritoryGermany
CityCologne
Period06/30/0807/3/08

Keywords

  • Graph matching
  • Graphical methods
  • Linguistic data
  • Message processing
  • Text extraction

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