Link Correlated Military Data for Better Decision Support

Abstract

Near all military decisions need data-support. For nowadays warfare's complexity and vast use of sensors, decision data are usually of great amount, while what commanders require are usually just a small subset covering his interest. Sometimes it is distractive and time-consuming to lookup such a subset, because it contains data in different domains, under different topics, from different sources. In problem domain, theses data are correlated, while machine can not understand it and does not support correlation-based data lookup. In this paper, applying Linked Data technique, correlations among decision data are described in machine-understandable and process-effective way, and visualized on user interface as navigation links that can guide people to find related data. Methods are proposed on link-construction and data-lookup. It is proved through experiments that correlation-based data lookup method is a good complement to traditional tree-based one, which brings decision data support with higher problem relativity, user thinking aligning ability, and operation efficiency.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2011
Accession Number
ADA547359

Entities

People

  • Jingjing Yan
  • Weitai Liang
  • Xiaoman Wang
  • Xin Jin

Tags

Communities of Interest

  • Advanced Electronics
  • C4I
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Command And Control
  • Command And Control Systems
  • Construction
  • Data Sets
  • Databases
  • Efficiency
  • Electronics
  • Engineering
  • Humanitarian Assistance
  • Information Systems
  • Models
  • Navigation
  • Relational Databases
  • Semantic Models
  • Systems Engineering
  • Thinking
  • User Interface

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Neural Network Machine Learning.
  • Systems Analysis and Design