Semantic Framework for Collaborative Analysis and Knowledge Exploration (CAKE)

Award Information
Agency:
Department of Defense
Branch
n/a
Amount:
$149,984.00
Award Year:
2012
Program:
SBIR
Phase:
Phase I
Contract:
W911QX-12-C-0043
Award Id:
n/a
Agency Tracking Number:
O113-DR4-2115
Solicitation Year:
2011
Solicitation Topic Code:
OSD11-DR4
Solicitation Number:
2011.3
Small Business Information
1408 University Drive East, College Station, TX, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
555403328
Principal Investigator:
Perakath Benjamin
Senior Research Scientist
(979) 260-5274
pbenjamin@kbsi.com
Business Contact:
Donielle Mayer
Business Operations Manager
(979) 260-5274
dmayer@kbsi.com
Research Institution:
Stub




Abstract
Knowledge Based Systems, Inc. (KBSI) proposes to design and demonstrate a semantic framework for Collaborative Analysis and Knowledge Exploration (CAKE). CAKE will provide the following innovative capabilities (1) Automation support for semantic tagging from multi-source text, image, and geospatial data; (2) Ontology-driven approach for semantic tagging and knowledge integration from text and image-derived tags; (3) Automation support for semantic knowledge discovery using sense making strategies, (4) Interactive visualization to support collaborative sense making and shared situational awareness . The research addresses critical technical voids that (a) limit the ability to exploit knowledge embedded in multi-modal data and (b) limit the ability of end users to make sense out of tagged text and image data in a manner that supports effective decision making. The Phase I effort will (i) establish requirements for collaborative sense making from tagged multi-modal data, (ii) formulate techniques for fusing tagged text data with tagged image data, (iii) design a method for collaborative sense making for enhanced situational awareness, and (iv) design and demonstrate CAKE technology. Phase II will build a focused military application of the innovation and rapidly transition the technology for large scale use.

* information listed above is at the time of submission.

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