SBIR/STTR Research Award
Open Source Information Tactical Exploitation (ONSITE)
Award amount
$98,637Program and phase
SBIR · Phase IAward year
2009Award details
- Awarding agency
- Department of Defense
- Branch
- Defense Advanced Research Projects Agency
- Recipient company
- I.D.E.A.L. Technology Corporation
- Proposal award date
- 2009-04-16
- Contract end date
- 2009-12-31
- UEI
- Not reported
- Solicitation number
- 2008.2
- Topic code
- SB082-026
Research abstract
The discovery of textual information on digital media—emails, documents, messages, and the like—during tactical operations can provide evidence to the warfighter about possible future enemy operations, movements, or attacks. Unfortunately, the sheer volume of such information that may be discovered during tactical operations precludes extensive, on-site computational analysis. High throughput, but efficient, methods must be employed to analyze large volumes of text to reveal any usable information, which can then be stored and later analyzed using desktop computer workstations. To address this significant problem, I.D.E.A.L. Technology Corporation and Knexient, Inc. propose STREAM, a fast text analysis module designed to provide additional natural language processing capabilities for the System for TRIaging Key Evidence (STRIKE™) platform. Specifically, STREAM finds named entities and a set of binary relations between entities in free text, which are extracted and made available in the STRIKE application interface to help warfighters quickly find mission-critical information in text sources discovered during exploitation operations. Additionally, STREAM will use the Hierarchical Document Classification system (HDC) from Knexient’s Text Processing Engine (TPE) to initially classify text according to topic and primary event (the main event expressed in the discourse).
Technology keywords
Not reported
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Open Source Information Tactical Exploitation (ONSITE)
- Massively Scalable Themes, Entities and Relationships (MASTER)
- Open Source Information Tactical Exploitation (ONSITE)
- Massively Scalable Themes, Entities and Relationships (MASTER)
- ONSITE: Open Source Information Tactical Exploitation