This paper describes an approach for using semantic web technologies to help predict where to find information that exists in a set of imagery repositories accessible on a secure web.
A Semantic Web Approach for Predictive Searching in the Intelligence Imagery Domain
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This paper describes an approach for using semantic web technologies to help predict where to find information that exists in a set of imagery repositories accessible on a secure web. The approach uses information relevant to the repository to predict the likely location for a given image. This inference is accomplished using knowledge of the mission and responsibilities of the organizations that own the repositories. Although our application is in the military intelligence imagery domain, we believe this approach can be generalized to other domains.