Issues in the TERSE Project

Abstract

This work is part of the TERSE project--an effort to understand and make use of information in free text portions of Navy CASREP reports. Naval ships are required to send out a CASREP report on every piece of equipment which experiences a failure that can not be corrected within 24 hours. The Navy is faced with several problems concerning these messages: 1) The shear number of messages coming in; 2) Sorting out time critical information from non-time critical information; 3) Forwarding relevant information to different organizations. Because CASREP reports also contain formatted sections, some information detection and dissemination can be done fairly easily with computers. The task of processing the information contained in the narrative portions of the messages is more difficult. Our goal has been to parse the narrative text and map the information transmitted in that section into a computer-based representation. After this mapping is accomplished, specialized application programs can access the knowledge base containing the information and perform their specific tasks. This paper deals with knowledge representation as it related to the problems of representing information communicated in natural language text. It discusses transitioning this project to the real world and potential problems arising from the past approach to knowledge representation.

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Document Details

Document Type
Technical Report
Publication Date
May 12, 1988
Accession Number
ADA196145

Entities

People

  • M. K. Di Benigno

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Air Compressors
  • Application Software
  • Artificial Intelligence Software
  • Compressors
  • Computer Programs
  • Computers
  • Contractors
  • Control Systems
  • Databases
  • Drive Shafts
  • Economic Forecasting
  • Electronic Equipment
  • Information Processing
  • Language
  • Linguistics
  • Natural Languages
  • Statistical Analysis

Fields of Study

  • Computer science

Readers

  • Computational Linguistics
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Geospatial Intelligence and Artificial Intelligence Analytics