You are here

A Scalable Event Extractor for Multi-Level Event Data and Pattern Archiving: SEE

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-18-C-0648
Agency Tracking Number: N17A-022-0118
Amount: $1,999,997.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: N17A-T022
Solicitation Number: 17.A
Solicitation Year: 2017
Award Year: 2018
Award Start Date (Proposal Award Date): 2018-07-24
Award End Date (Contract End Date): 2022-07-25
Small Business Information
15400 Calhoun Drive Suite 190
Rockville, MD 20855-0000
United States
DUNS: 161911532
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Onur Savas
 Program Manager
 (301) 294-4241
Business Contact
 Mark James
Phone: (301) 294-5200
Research Institution
 The Board of Trustees of the University of Illinois
 Jiawei Han Jiawei Han
Henry Administration Building 506 S. Wright Street
Urbana, IL 61801-0000
United States

 (217) 333-6903
 Nonprofit College or University

To address the need of auto-extracting data relevant to significant events and to archive patterns, Intelligent Automation, Inc. (IAI) team proposes to continue developing a Scalable Event Extractor for Multi-Level Event Data and Pattern Archiving: SEE. The key innovations of our proposed SEE system are (1) a large class of analytics that extract valuable and important information from raw data, and (2) the two-level event data and pattern archiving architecture using heterogeneous information networks (HINs) and EventCube, which enables fast information retrieval, efficient information storage, and powerful analytics for question and answers. The overall system will be implemented as a decision aid toolkit that will significantly improve Navy and Marine Corps’ capability to create actionable intelligence from billions of documents, nodes, and edges, and will have a mature and responsive a human computer interface.

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

US Flag An Official Website of the United States Government