Semantic Framework for Collaborative Analysis and Knowledge Exploration (CAKE)
Knowledge Based Systems, Inc. (KBSI) proposes to design, build, and validate a semantic framework for Collaborative Analysis and Knowledge Exploration (CAKE). CAKE provides the following innovative capabilities (1) Automated ontology-driven semantic tagging of multi-source text and image data; (2) Semantic information fusion and collaborative information analysis for enhanced situational awareness; and (3) Interactive visualization to support collaborative sense making and shared situational awareness. The research addresses critical technical voids that limit the ability to exploit knowledge embedded in multi-modal data and limit the ability of end users to make sense out of tagged text and image data in a manner that supports effective decision making. Building off the successful Phase I effort, the proposed CAKE Phase II project will seek to: (i) establish focused military application requirements for collaborative sense making from tagged multi-modal data, (ii) design and validate techniques for fusing information derived from tagged text data with tagged image data, (iii) design and validate methods for collaborative sense making for enhanced situational awareness, and (iv) design, build, and demonstrate a focused military application of the CAKE technology. The proposed Phase II R & D is expected to rapidly transition the CAKE innovation to the Aberdeen Army Research Laboratory.
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Senior Research Scientist
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Knowledge Based Systems, Inc.
1408 University Drive East College Station, TX -
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