TIPS - A System for Contextual Prioritization of Tactical Messages

Abstract

The automatic understanding of military messages has long been a technological goal of Command and Control (C2). Many past approaches utilized Natural Language Processing (NLP) techniques to solve this problem. However, emerging database schemas for coalition C2, such as the Joint Command, Control and Consultation Information Exchange Data Model (JC3IEDM), make other approaches feasible. The richness of the JC3IEDM makes it possible to extract context for Battlespace objects represented in the database. The Tactical Information Prioritization System (TIPS) leverages the JC3IEDM schema in order to automatically evaluate and prioritize tactical reports for transmission to a given unit.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2009
Accession Number
ADA503236

Entities

People

  • Mark H. Linderman
  • Mary G. Devito
  • Norman Coleman
  • Robert E. Marmelstein

Organizations

  • East Stroudsburg University of Pennsylvania

Tags

Communities of Interest

  • C4I
  • Human Systems

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Bayesian Networks
  • Command And Control
  • Computer Science
  • Data Mining
  • Databases
  • Information Overload
  • Information Processing
  • Information Science
  • Military Research
  • Natural Language Processing
  • Organizational Structure
  • Probability
  • Probability Distributions
  • Random Variables
  • Situational Awareness
  • Standards

Fields of Study

  • Computer science
  • Engineering

Readers

  • Database Systems and Applications
  • Joint Military Operations and Doctrine.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Information Retrieval
  • Fully Networked C3
  • Fully Networked C3 - Command and Control