DESIGN PRINCIPLES FOR AN ON-LINE INFORMATION RETRIEVAL SYSTEM

Abstract

Areas investigated include slow memory data storage, the problem of decoding from an index to a slow memory address, the structure of data lists and data list operators, communications between the human user and the system, processing of retrieval requests, and the user's control over the return of information retrieved. Linear, linked and inverted file structures are considered. Empirical data from the Repository of the Association for Computing Machinery are used for illustrative purposes. These data are also used in the portion of the decoding mechanism study which deals with the effects of truncation of index terms. Following the file organization study, the necessary list structures and list operators are designed. An editing language for use by the human operator in communicating with the system is specified, as are requirements for the execution of 'background' programs when a user's information retrieval request is not being processed. Finally, a simple sequence of man-machine communications which allow the user of the system to specify what classes of data are to be returned to him is outlined.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1966
Accession Number
AD0647196

Entities

People

  • Thomas C. Lowe

Organizations

  • Moore School of Electrical Engineering

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Classification
  • Computer Programming
  • Computers
  • Contracts
  • Data Storage Systems
  • Decoding
  • Electrical Engineering
  • Index Terms
  • Indexes
  • Information Retrieval
  • Language
  • Magnetic Tape
  • Memory Devices
  • Notation
  • Procedures (Computers)
  • Remote Terminals
  • Sequences

Fields of Study

  • Computer science

Readers

  • Library and Information Science
  • Radio communications and signal processing.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval