Jigsaw: Visualization for Investigative Analysis

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Jigsaw Visualization for Investigative Analysis
Carsten Görg, Zhicheng Liu, John Stasko School of
Interactive Computing Georgia Institute of
Technology
Goals Aid investigative analysts as they make
sense of and gain insight from case reports
Support the discovery of hidden relationships
and threats embedded in large document
collections
Approach Identify entities such as people,
organizations, and places within a large
collection of text documents Provide a
visual index on those entities to guide the
analyst to relevant reports Highlight
connections between entities
Exemplary text report with highlighted entities.
System Overview Multiple connected
views Visualizations show different aspects
of the document collection Rich
interactive user interface Supports
information foraging and sensemaking
Jigsaw-cockpit Multiple views of documents and
their entities
Acknowledgement This research is supported by a
grant from the Department of Homeland Security's
NVAC Program and is one of a number of projects
from the Southeastern Regional Visualization and
Analytics Center.
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Jigsaw Views
Query window
Text View showing reports relevant to Faron
Gardner
The Shoebox View showing the Group, Hypothesis,
and Sentence feature
List View showing connections between Cesar Gil
and Faron Gardner
Report View showing sets of reports sorted by
selected countries
Reports listed by publication date in the
Calendar View
Circular Layout in the Graph View
Ongoing and Future Work Present themes across
document collection Support other data formats,
e.g., spreadsheets blogs Better evidence
marshalling and reasoning support Evaluation by
analysts
Scatter Plot View showing connections between
people and organizations
J. Stasko, C. Görg, Z. Liu and K. Singhal,
Jigsaw Supporting Investigative Analysis
through Interactive Visualization, Proc. of IEEE
VAST '07, Oct. 2007, pp. 131-138.
Video and more information is available on the
Jigsaw webpage http//www.gvu.gatech.edu/ii/jigsa
w/