HARVEST: an intelligent visual analytic tool for the masses

Authors:
David Gotz;Zhen When;Jie Lu;Peter Kissa;Nan Cao;Wei Hong Qian;Shi Xia Liu;Michelle X. Zhou
Affiliations:
IBM T.J. Watson Research Center, Hawthorne, NY, USA;IBM T.J. Watson Research Center, Hawthorne, NY, USA;IBM T.J. Watson Research Center, Hawthorne, NY, USA;IBM T.J. Watson Research Center, Hawthorne, NY, USA;IBM China Research Lab, Beijing, China;IBM China Research Lab, Beijing, China;IBM China Research Lab, Beijing, China;IBM China Research Lab, Beijing, China
Venue:
Proceedings of the first international workshop on Intelligent visual interfaces for text analysis
Year:
2010

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Abstract

We present an intelligent visual analytic system called HARVEST. It combines three key technologies to support a complex, exploratory visual analytic process for non-experts: (1) a set of smart visual analytic widgets, (2) a visualization recommendation engine, and (3) an insight provenance mechanism. Study results show that HARVEST helped users analyze a corpus of text documents from a corporate wiki.