Real Time News Analysis for Improved Social Relationship Discovery; Conference paper

摘要

Intelligence analysts and military intelligence officers have the arduous responsibility of processing large amounts of data to determine trends and relationships. Intelligence Analysts must be able to gather traditional information 'signal, human, and measurement and signature intelligence' and nontraditional data 'financial and social context' to form actionable intelligence. An Intelligence Estimate is part of a Commander's mission plan and includes social, political, and the demographic information. Current data from news sources may enhance traditional intelligence data. The U.S. Army Research Laboratory 'ARL' currently has two projects in this arena. The first is the Real Time News Analysis 'RTNA' project. RTNA is being developed to harvest real-time streaming data from World Wide Web-based news sources and pre- process it by filtering, classifying, tagging, and fusing. This data will then be fed to ARL's Social Network Analysis 'SNA' for Actionable Intelligence 'SNAAI' project. This project is developing a testbed of currently available SNA software and working on enhanced algorithms and visualization techniques to improve relationship discovery. ARL is not trying to develop SNA software but to utilize software currently available to better suit the needs of the Intelligence Community. This paper discusses the reasoning, interrelationship, and possible future expansions of the two projects.