Improve Interoperability by Formalizing the Natural Language Parts of Military Messages

Abstract

Due to the new military operations other than war, the extent of the natural language parts in formalized military messages increases. In order to guarantee further automatic interoperability between different C4ISR systems three problems must be solved. First, the natural language text must be automatically transformed into a formal structure, which represents the meaning of the text. Second, the formal structure must be exchanged between the different C4ISR systems. And third, the representation of the meaning must be automatically inserted into the C4ISR database. In this paper, we show that Information Extraction techniques can be used as a possible solution to the first sub problem. As the formal structure for representing the meaning we use typed feature structures.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2005
Accession Number
ADA469711

Entities

People

  • Matthias Hecking

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Abstracts
  • Automatic
  • Command And Control
  • Computational Linguistics
  • Databases
  • Electronic Mail
  • Engineering
  • Extraction
  • Grammars
  • Information Exchange
  • Information Processing
  • Interoperability
  • Language
  • Linguistics
  • Military Operations
  • Natural Languages
  • Ontologies

Fields of Study

  • Computer science

Readers

  • Calculus or Mathematical Analysis
  • Defense Acquisition Program Management
  • Parallel and Distributed Computing.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Machine Translation