Storytelling for Causal Data Mining

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$729,967.00
Award Year:
2012
Program:
SBIR
Phase:
Phase II
Contract:
W15P7T-12-C-H206
Award Id:
n/a
Agency Tracking Number:
A2-4789
Solicitation Year:
2010
Solicitation Topic Code:
A10-090
Solicitation Number:
2010.2
Small Business Information
Harmonia Holdings Group (Currently Harmonia Holding Group LLC)
2020 Kraft Drive, Suite 1000, Blacksburg, VA, -
Hubzone Owned:
Y
Minority Owned:
Y
Woman Owned:
Y
Duns:
556397615
Principal Investigator:
Marc Abrams
PI
(540) 951-5901
mabrams@harmonia.com
Business Contact:
Pallabi Saboo
CEO
(540) 951-5915
psaboo@harmonia.com
Research Institution:
Stub




Abstract
The intelligence gathering community needs automated data mining and discovery of causal relationships in unstructured textual documents. Harmonia proposes to fill this need via our Raconteur system. Raconteur can benefit an analyst by guiding them in automated discovery of unknown document linkages. Examples include grouping a set of terrorist attacks with similar methodologies and locations, discovering links between two individuals to expose a network of suspicious activities, or determining if two entities with little-known knowledge affect one another. Raconteur will be a web-based application that produces interactive visualizations allowing a user to construct and manipulate graphs showing chains of evidence and corroborating evidence that forms stories connecting two documents of interest. Our proposed work on Raconteur includes implementation of its analysis algorithms using parallel/distributed processing using the MapReduce framework. These techniques have been applied to small and large data sets, such as the Tactical Ground Reporting (TIGR) system on a classified dataset of 1.75 million reports. The results of these techniques can be used to quickly identify documents related to a topic and find the missing links between given reports. By finding such chains of evidence, an analyst can quickly determine unknown relationships between topics, persons, events, or places.

* information listed above is at the time of submission.

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