An Evaluation of the Relationship Discovery Service as a Company Intelligence Support Team Technology

Abstract

The U.S. Army Research Laboratory (ARL) Computational Information Sciences Directorate (CISD) Tactical Information Fusion Branch (TIFB) conducted an investigation of the current state of development of the Relationship Discovery Service (RDS) platform as a potential technology for Company Intelligence Support Teams (COISTs). RDS is an integrated set of Web-enabled, service-oriented applications designed to assist in the analysis of soft intelligence data. The visual representation of social relationships and quantitative network centrality measures generated by RDS are intended to reduce the time and effort required for a novice intelligence analyst to organize and extract key information surrounding terrorist organizations and their activities. In military intelligence, the recent focus is on decentralizing analysis to the company level by implementing COIST primarily consisting of novice intelligence analysts. RDS was tested and evaluated internally by persons with little to no experience in intelligence analysis. The Ali Baba data set, originally created by the National Security Agency (NSA), was cleaned, modified, and validated for the purpose of testing. Testing and evaluation results of RDS are discussed in terms of system reliability and responsiveness, and improvements to functionality.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2012
Accession Number
ADA565366

Entities

People

  • Elizabeth Bowman
  • Heather Roy
  • Mark Mittrick
  • Sue Kase

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Analysts
  • Data Mining
  • Data Sets
  • Human Intelligence
  • Information Science
  • Intelligence Analysts
  • Military Research
  • National Security
  • Platforms
  • Reliability
  • Security
  • Social Networks
  • Terrorists
  • Test And Evaluation
  • Text Messaging
  • Training
  • Warfare

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications
  • Logistics and Supply Chain Management.
  • Neural Network Machine Learning.