CLASSIFICATION BY SEMANTIC MATCHING.

Paul R. Cohen, Philip M. Stanhope, Rick Kjeldsen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The authors describe experiments with a knowledge system that finds sources of research funding based on semantic matches between research proposals and the interests of funding agencies. The GRANT system relies on domain-specific knowledge about semantic matching and a domain-independent partial matching algorithm to search for funding agencies in a semantic network. The semantic matching algorithm implements a model of uncertainty in classification problem solving. The authors analyze cases of poor performance that illustrate how GRANT-like systems are build and refined. They summarize an algorithm for learning domain-specific semantic matching knowledge.

Original languageEnglish (US)
Title of host publicationConference Proceedings - Annual Phoenix Conference
PublisherIEEE
Pages566-570
Number of pages5
ISBN (Print)0818607653
StatePublished - Jan 1 1987

Publication series

NameConference Proceedings - Annual Phoenix Conference

ASJC Scopus subject areas

  • Engineering(all)

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