RDF Entity and Association Disambiguation (READ) Enhancement

Period of Performance: 04/19/2015 - 04/19/2017

$2MM

Phase 2 SBIR

Recipient Firm

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

Abstract

To keep abreast of groups and individuals operating in a particular area, US forces gather vast amounts of intelligence. Extracted from this sea of information are the entities that exist in the data. We have made great leaps in entity extraction technology. The next challenge is to overcome entity ambiguity that remains at the end of this processing pipeline. These entities are typically stored as connected graphs in the Resource Description Framework (RDF). Because of ambiguities associated with entities, these data stores become filled with redundant statements, preventing Warfighters from finding everything known about specific entities rapidly and accurately.To address this shortfall, DAC is continuing to advance, deploy, and test our RDF Entity and Association Disambiguation (READ) capability. READ provides Entity and Relationship Co-Reference Resolution, RDF Conflict Identification and Resolution, and improved RDF Schema for Context Storage. These capabilities provide intelligence analysts the necessary tools to rapidly and accurately obtain all of the necessary information about specific entities. In particular, the READ system will utilize probabilistic models to allow for the analysis and exploitation of large scale data stores consisting of static, dynamic, continuous, and discrete attributes.