SBIR/STTR Research Award
Massive Scale Text Processing Using Phrases
Award amount
$980,000Program and phase
SBIR · Phase IIAward year
2004Award details
- Awarding agency
- Department of Defense
- Branch
- Army
- Recipient company
- SEHDA, INC.
- Proposal award date
- 2005-01-25
- Contract end date
- 2007-01-25
- UEI
- Not reported
- Solicitation number
- 2003.2
- Topic code
- OSD03-030
Research abstract
Sehda's goal in the Information Retrieval realm is to substantially advance the state of the art by developing a facet based search model supported by a relational network which coheres to real world relationships and allows mining of the stored data in an efficient, meaningful way. Sehda's goal in this Phase II of this project is to develop and combine the component elements of such a system, which were shown in Phase I to be theoretically possible, into an existing and coherent whole, merging these components first into Sehda's proposed system and then with its three co-venturers into a unique new search and navigation tool.
Technology keywords
Not reported
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Concept-based Information Retrieval and Fusion Engine
- Massive Scale Text Processing Using Phrases
- Leadership Agent for Multi-source Information Fusion in Counter-Terrorism
- Leadership Agent for Multi-source Information Fusion in Counter-Terrorism
- Knowledge Triage for Military Leadership