Semantic Framework for Collaborative Analysis and Knowledge Exploration (CAKE)

Period of Performance: 04/03/2012 - 10/03/2012

$150K

Phase 1 SBIR

Recipient Firm

Knowledge Based Systems, Inc.
1408 University Drive East Array
College Station, TX 77840
Principal Investigator

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.