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Revisiting the JDL data fusion model II

  • Data Fusion and Neural Networks (DFandNN), LLC
  • Utah State University
  • General Dynamics
  • Space and Naval Warfare Systems Center

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

328 Scopus citations

Abstract

This paper suggests refinements and extensions of the JDL Data Fusion Model, the standard process model used for a multiplicity of community purposes. However, this Model has not been reviewed in accordance with (a) the dynamics of world events and (b) the changes, discoveries, and new methods in both the data fusion research and development community and related IT technologies. This paper suggests ways to revise and extend this important model. Proposals are made regarding (a) improvements in the understanding of internal processing within a fusion node and (b) extending the model to include (1) remarks on issues related to quality control, reliability, and consistency in DF processing, (2) assertions about the need for co-processing of abductive/ inductive and deductive inferencing processes, (3) remarks about the need for and exploitation of an onto logically-based approach to DF process design, and (4) extensions to account for the case of Distributed Data Fusion (DDF).

Original languageEnglish
Title of host publicationProceedings of the Seventh International Conference on Information Fusion, FUSION 2004
EditorsP. Svensson, J. Schubert
Pages1218-1230
Number of pages13
StatePublished - 2004
EventProceedings of the Seventh International Conference on Information Fusion, FUSION 2004 - Stockholm, Sweden
Duration: Jun 28 2004Jul 1 2004

Publication series

NameProceedings of the Seventh International Conference on Information Fusion, FUSION 2004
Volume2

Conference

ConferenceProceedings of the Seventh International Conference on Information Fusion, FUSION 2004
Country/TerritorySweden
CityStockholm
Period06/28/0407/1/04

Keywords

  • Data Fusion
  • Fusion models
  • Information fusion
  • JDL Model

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