DESCRIPTION OF CATALOGING AND INDEXING SYSTEM FOR THE ACM REPOSITORY.

Abstract

The repository library of the Association for Computing Machinery (ACM) was first proposed in 1961, and subsequently the Moore School of Electrical Engineering was designated as the site. The Moore School established an Advisory Board on Information Retrieval, a research team to provide council in relating the repository to current developments. The Moore School research team concentrated on preparation of an organizational and procedural plan for a mechanized information center with 2 principles: (1) a library must make its information as easily accessible to a customer as any store, and (2) information service should be provided at a competitive price. The system aims to store bibliographic elements, 4 echelons of index terms for enhancing user convenience, and a number of document attributes for expediting user search. The system has a 'multiport' entry plan whereby search may be based on any of the many aspects of the contents or the packaging of documents. The concept of the multiport entry is an outgrowth of the Moore School Multilist system (AD-270 573) and has been incorporated into the indexing system via 'Added Info' groups. The scheme also permits stochastic search through the system, i.e. attaining the most applicable word from an initial approximation and a search through related categories, sections and/or classes.

Document Details

Document Type
Technical Report
Publication Date
Jan 25, 1965
Accession Number
AD0612277

Entities

People

  • John F. White Jr.
  • Morris Rubinoff

Organizations

  • University of Pennsylvania

Tags

Communities of Interest

  • Advanced Electronics

DTIC Thesaurus Topics

  • Electrical Engineering
  • Engineering
  • Index Terms
  • Indexes
  • Information Retrieval
  • Packaging
  • Storage

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Library and Information Science
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval