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KG-KISS: Knowledge and Information Sharing System with Knowledge Graph

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-21-C-0443
Agency Tracking Number: N21A-T016-0059
Amount: $139,999.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N21A-T016
Solicitation Number: 21.A
Solicitation Year: 2021
Award Year: 2021
Award Start Date (Proposal Award Date): 2021-06-07
Award End Date (Contract End Date): 2021-12-07
Small Business Information
20271 Goldenrod Lane Suite 2066
Germantown, MD 20876-1111
United States
DUNS: 967349668
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: Yes
Principal Investigator
 (301) 515-7261
Business Contact
 yingli Wu
Phone: (949) 596-0057
Research Institution
 George Mason University
 Lindsay Gilbreath
4400 University Drive
Fairfax, VA 22030
United States

 (703) 993-2984
 Nonprofit College or University

In order to facilitate collaborative decision-making during modern surface warfare situations, locally learned knowledge among sailors and warfighters must be shared effectively in a timely manner. Current Naval approaches for collecting and sharing knowledge are inefficient and inflexible, as new contents are examined over extended timelines with no ability to dynamically update the knowledge base until the next deployment cycle. This effort proposes a peer-to-peer approach to systematically curate and distribute new knowledge within an approved IT infrastructure. The proposed Knowledge Graph Based Knowledge and Information Sharing System (KG-KISS) is based on state-of-the-art heterogeneous knowledge graph representation and machine learning techniques to link knowledge products derived from natural language understanding and content analytics. The goal of the proposed effort is to develop a composable, semi-automated, scalable mechanism capable of dynamically curating multi-media content based on formal rules and machine learning algorithms. The proposed Phase I work will address the leading systems in rapid, automated content curation tools for multiple potential workflows based on the assigned user roles. Realistic use case scenarios will be selected to demonstrate the feasibility of the proposed system with defined operational and technical metrics in a military environment.

* Information listed above is at the time of submission. *

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