Term distribution visualizations with Focus+Context

Authors:
Moses Schwartz;Curtis Hash;L. M. Liebrock
Affiliations:
New Mexico Institute of Mining and Technology Socorro, New Mexico;New Mexico Institute of Mining and Technology Socorro, New Mexico;New Mexico Institute of Mining and Technology Socorro, New Mexico
Venue:
Proceedings of the 2009 ACM symposium on Applied Computing
Year:
2009

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Term distribution visualizations with Focus+Context

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Abstract

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 within-document 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.