Cloud-Based Tell-Me-About Q&A System

Award Information
Agency:
Department of Defense
Branch
n/a
Amount:
$80,000.00
Award Year:
2013
Program:
SBIR
Phase:
Phase I
Contract:
N00014-13-M-0036
Award Id:
n/a
Agency Tracking Number:
N122-136-0816
Solicitation Year:
2012
Solicitation Topic Code:
N122-136
Solicitation Number:
2012.2
Small Business Information
2310 Bamboo Drive STE J303, Arlington, TX, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
622975998
Principal Investigator:
VC Ramesh
Founder
(817) 213-6184
vcr@vcrsoft.com
Business Contact:
VC Ramesh
Founder
(817) 213-6184
vcr@vcrsoft.com
Research Institute:
Stub




Abstract
The essence of the problem is to allow military intelligence and operations staff to pose"tell me about"questions concerning an entity, and obtain a finished information product. There are 4 main technical challenges / sub-problems: a) Question content modeling: The question needs to be semantically mapped to an ontology. b)Semantic enrichment of unstructured text: Unstructured data (text, images etc.) needs to be marked-up with semantic tags that relate the content to the ontology. c)Sufficiency tracking of discovered content: Relevant content needs to be discovered and its sufficiency evaluated as an adequate response to the question. d)Presentation of finished product: The answer needs to be presented as a report in a familiar format such as MS Office or Adobe PDF. We present a cloud-based approach to address all these issues.

* information listed above is at the time of submission.

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