Query Language for Analytic Product Support (Q-LAPS) Navy SBIR FY2012.2 Sol No.: Navy SBIR FY2012.2 Topic No.: N122-136 Topic Title: Query Language for Analytic Product Support (Q-LAPS) Proposal No.: N122-136-0895 Firm: Knowledge Based Systems, Inc. 1408 University Drive East College Station, Texas 77840-2335 Contact: Timothy Darr Phone: (979) 260-5274 Web Site: www.kbsi.com Abstract: The tremendous amount of information available to the analyst is both an opportunity and a problem. Clearly, more information provides analysts with a better foundation for their analyses. However, as the amount of information increases, analysts are finding it more and more difficult to take advantage of the wealth of information, due to the difficulty in extracting the information that they need at the time that they need it, in order to produce actionable intelligence to assist planners and warfighters. Knowledge Based Systems, Inc. (KBSI) proposes to conduct research leading to a "Query Language for Analytic Product Support" (Q-LAPS) that enables analysts to effectively query unstructured and semi-structured data sets for information that is relevant and timely for generating analytic products. The proposed approach strikes a balance between the need for high quality and accurate results and ease of use and minimal training for the analyst. Benefits: The Q-LAPS benefits include the following:  Leverage an existing natural language upper level ontology that includes thousands of concept definitions  Leverage an existing NLP pipeline that is easily extensible for semantically annotating source datasets  Minimal training time to learning the query language  Minimal need for advanced knowledge base development support  A query grammar that can be easily adapted to diverse ontologies; the query language is the same no matter the underlying ontology Return