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

Large amounts of data are collected every day by Naval Intelligence Surveillance and Reconnaissance systems. There is a critical need to capture important information before it is lost. It is also desired to preserve the valuable information in a proper way such that it can be retrieved for future analysis efficiently when needed. To address these needs, Intelligent Automation, Inc. (IAI), along with our academic and industry collaborators, proposes to develop a Scalable Event Extractor for Multi-Level Event Data and Pattern Archiving: SEE. The proposed SEE integrates the following components: (1) data collection and integration module to prepare data for further analysis, (2) information extraction module to extract entities, relationships, and events out of the large scale raw data, (3) multi-level event data and pattern archiving architecture for efficient information recall and analytics, and (4) user interface to deliver the query and analytics results to analysts. IAIs big data technologies will be the foundation of all the proposed algorithms and architectures. The key innovation of SEE is the multi-level event data and pattern archiving architecture, which offers the following advantages: fast information retrieval, efficient information storage, easy to roll-up and drill-down information, and scalable event data and pattern archiving.