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Information fusion systems include the collection of information from various sources (e.g., sensors) in support of a user's task. After receiving the information, the user has many options associated with the diffusion of information such as dissemination to others, storage in a database, of multiplicative tasking for new information. This paper revisits the notions of the Joint Director of the Laboratories/Data Fusion Information Group (JDL/DFIG) information model that seeks a balance between information estimation and management from collection to diffusion. The data diffusion framework extends the JDL/DFIG model for action diffusion.
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Blasch et al. (2016) studied this question.
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