Information retrieval by constrained spreading activation in semantic networks

Paul R Cohen, Rick Kjeldsen

Research output: Contribution to journalArticle

193 Citations (Scopus)

Abstract

GRANT is an expert system for finding sources of funding given research proposals. Its search method-constrained spreading activation-makes inferences about the goals of the user and thus finds information that the user did not explicitly request but that is likely to be useful. The architecture of GRANT and the implementation of constrained spreading activation are described, and grant's performance is evaluated.

Original languageEnglish (US)
Pages (from-to)255-268
Number of pages14
JournalInformation Processing and Management
Volume23
Issue number4
DOIs
StatePublished - 1987
Externally publishedYes

Fingerprint

Information retrieval
information retrieval
activation
Chemical activation
Semantics
semantics
knowledge-based system
Expert systems
grant
funding
performance
Semantic network
Activation
Funding
Inference
Expert system

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Library and Information Sciences
  • Media Technology
  • Management Science and Operations Research

Cite this

Information retrieval by constrained spreading activation in semantic networks. / Cohen, Paul R; Kjeldsen, Rick.

In: Information Processing and Management, Vol. 23, No. 4, 1987, p. 255-268.

Research output: Contribution to journalArticle

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