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