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Many text searches are meant to identify one particular fact or one particular section of a document. Unfortunately, predominant search paradigms focus mostly on identifying relevant documents and leave the burden of withindocument searching on the user. This research explores term distribution visualizations as a means to more clearly identify both the relevance of documents and the location of specific information within them. We present a set of term distribution visualizations and introduce a Focus+Context model for within-document search and navigation.

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A significant portion of the critical infrastructure relies on the proper operation of industrial control system (ICS) field devices.