DocumentCode :
119590
Title :
IPM — A framework for visual sense making VAST 2014 mini-challenge 1
Author :
Benjamin, Perakath ; Madanagopal, Karthic ; Gopal, Belita ; Swaminathan, Kannan
Author_Institution :
Knowledge Based Systems, Inc.
fYear :
2014
fDate :
25-31 Oct. 2014
Firstpage :
311
Lastpage :
312
Abstract :
Analysts are increasingly drowning in a flood of information. KBSI has addressed this challenge through the Intelligence Product Mosaic™ (IPM) analysis, visualization, and reporting tool that exploits the cognitive strength of analysts and enables them to discover information intuitively and quickly. This article provides an overview of the IPM analytic process and the visualizations that were used to enable better end user understanding of the information derived from multi-source text data. The main benefits of the IPM tool described in this paper include (i) significant reductions in ‘data-to-decision’ time through the use of semantic and collaborative visual analytics techniques and (ii) significant increases in the ability to exploit information and knowledge embedded within data through the use of semantic methods.
Keywords :
Natural Language Processing; Semantic Tagging; VAST 2014; Visual Analytics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Analytics Science and Technology (VAST), 2014 IEEE Conference on
Conference_Location :
Paris, France
Type :
conf
DOI :
10.1109/VAST.2014.7042542
Filename :
7042542
Link To Document :
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