Automated Concept Map Elicitation (ACME)

Period of Performance: 01/01/2015 - 12/31/2015

$494K

Phase 2 SBIR

Recipient Firm

Decisive Analytics Corp.
1400 Crystal Drive Array
Arlington, VA 22202
Principal Investigator

Abstract

Rapid response missions to remote, unknown areas are becoming a primary focus for U.S. military forces. These missions require time-sensitive development of intelligence from all available sources including open source data, historic imagery, and live collections. Capabilities currently exist to extract low-level information (i.e. entities, relationships, and actions) from these large scale data sources. However, most of the intelligence requirements that need to be fulfilled are of a high-level conceptual nature. The fulfillment of these intelligence requirements needs a system that can utilize the extracted low-level information and the context surrounding this information to provide concept-level knowledge generation. Therefore, DAC proposes to develop a system called Automated Concept Map Elicitation (ACME). The ACME system will be focused on providing users with a rapid, visual mechanism for developing situational awareness around a specific intelligence requirement. To provide this capability, the ACME system will be built to support the extraction of information stored across numerous ontologies, utilize automated clustering of entity nodes and relationships to simplify the developed concept maps, and include an intuitive visualization of concept maps based on knowledge pertinent to the specific intelligence requirement.