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Interactive visual synthesis of analytic knowledge

By David Gotz, Michelle X. Zhou and Vikram Aggarwal


Figure 1: (a) HARVEST allows users to interactively define newly synthesized knowledge. Here, Boynton is derived as a possible high-tech scam. (b) Synthesized knowledge (Pro jectX and Pro jectY, inferred from calendar data) can be dynamically incorporated into the visual exploration environment to enable progressive analysis. A visual investigation involves both the examination of existing information and the synthesis of new analytic knowledge. This is a progressive process in which newly synthesized knowledge becomes the foundation for future discovery. In this paper, we present a novel system supporting interactive, progressive synthesis of analytic knowledge. Here we use the term “analytic knowledge ” to refer to concepts that a user derives from existing data along with the evidence supporting such concepts. Unlike existing visual analytic tools, which typically support only exploration of existing information, our system offers two unique features. First, we support usersystem cooperative visual synthesis of analytic knowledge from existin

Topics: Visual Analytics, Intelligence analysis, Problemsolving environments, Visual Knowledge Discovery Index Terms, H.1.2 [Information Systems, Models and Principles—User/Machine Systems H.5.1 [Information Systems
Year: 2006
OAI identifier: oai:CiteSeerX.psu:
Provided by: CiteSeerX
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