Generating MEDLINE search strategies using a librarian knowledge-based system. Academic Article uri icon

Overview

MeSH

  • Computer Simulation
  • Humans
  • Librarians
  • Models, Theoretical
  • Natural Language Processing
  • Semantics
  • Unified Medical Language System

MeSH Major

  • Artificial Intelligence
  • Information Storage and Retrieval
  • MEDLINE

abstract

  • We describe a librarian knowledge-based system that generates a search strategy from a query representation based on a user's information need. Together with the natural language parser AQUA, the system functions as a human/computer interface, which translates a user query from free text into a BRS Onsite search formulation, for searching the MEDLINE bibliographic database. In the system, conceptual graphs are used to represent the user's information need. The UMLS Metathesaurus and Semantic Net are used as the key knowledge sources in building the knowledge base.

publication date

  • 1993

has subject area

  • Artificial Intelligence
  • Computer Simulation
  • Humans
  • Information Storage and Retrieval
  • Librarians
  • MEDLINE
  • Models, Theoretical
  • Natural Language Processing
  • Semantics
  • Unified Medical Language System

Research

keywords

  • Journal Article

Identity

Language

  • eng

PubMed Central ID

  • PMC2850646

PubMed ID

  • 8130544

Additional Document Info

start page

  • 596

end page

  • 600