GRINS, AN ON-LINE STRUCTURE FOR THE NEGOTIATION OF INQUIRIES

Abstract

In general, problems are solvable along a continuum of abstraction. There is, at any given point in the development of the solution, a most efficient or optimum strategy. In information retrieval systems the ultimate solution is obtained at a more specific rather than at a more abstract level. The question negotiation process is viewed as an efficient preliminary strategy which enables an information seeker to obtain his information goal with the least amount of overall effort. In order for a problem solution procedure to remain efficient a means for predicting when to change strategies must be provided. In the particular example of question negotiation this prediction is based on the rate at which the definition of the user's need develops. An on- line computer program called GRINS is described which implements the information specialist's role in the negotiating of a user's need. This program communicates with the user in his natural conversational idiom. When the negotiation is judged by GRINS to be as well developed as it is likely to get, a search is made of the available documents. This search produces an ordered list of the sixty-three best documents which come closest to the user's expressed need. The structure of the program is modular so that improvements may be easily made. Some such improvements are suggested.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1967
Accession Number
AD0660089

Entities

People

  • James S. Green

Organizations

  • Lehigh University

Tags

Communities of Interest

  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Commerce
  • Computer Programs
  • Computers
  • Databases
  • Economics
  • Index Terms
  • Indexes
  • Information Retrieval
  • Information Science
  • Mathematics
  • Negotiations
  • New York
  • Personality
  • Random Number Generators
  • Universities

Readers

  • Computational Linguistics
  • Computational Modeling and Simulation
  • Mathematical Modeling and Probability Theory.

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval
  • AI & ML - Machine Learning Algorithms