A Scalable Event Extractor for Multi-Level Event Data and Pattern Archiving: SEE

To address the need of auto-extracting data relevant to significant events and to archive patterns, Intelligent Automation, Inc. (IAI) team proposes to continue developing a Scalable Event Extractor for Multi-Level Event Data and Pattern Archiving: SEE. The key innovations of our proposed SEE system are (1) a large class of analytics that extract valuable and important information from raw data, and (2) the two-level event data and pattern archiving architecture using heterogeneous information networks (HINs) and EventCube, which enables fast information retrieval, efficient information storage, and powerful analytics for question and answers. The overall system will be implemented as a decision aid toolkit that will significantly improve Navy and Marine Corps’ capability to create actionable intelligence from billions of documents, nodes, and edges, and will have a mature and responsive a human computer interface.