New Methodologies for Automated Data Fusion Processing.

Abstract

This report initiates investigations into some of the newer technologies to determine if they have useful applications to the problem of automating the fusion of multisource data. The main technology areas discussed are natural language processing (NLP), production rules, and pattern recognition. The theory of possibilities is also considered. An integrated data fusion system is postulated which would employ a number of different, interacting techniques. Early stages of system processing would require NLP techniques to restructure narrative data into a form useful for automated fusion with other kinds of data. The use of 'frames' as knowledge representation structures is considered for this part of the processing. Techniques involved in later processing could include production rules and pattern recognition. Possible applications of these two techniques to data fusion problems are discussed. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1978
Accession Number
ADA065452

Entities

People

  • Robin A. Dillard

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Ground and Sea Platforms
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Computer Programs
  • Computer Science
  • Computers
  • Data Fusion
  • Databases
  • Detection
  • Fuzzy Sets
  • Information Theory
  • Machine Learning
  • Natural Language Processing
  • Natural Languages
  • Pattern Recognition
  • Signal Processing

Readers

  • Computational Linguistics
  • Geospatial Intelligence and Artificial Intelligence Analytics

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation