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
Publication statusPublished - 1987
Externally publishedYes

    Fingerprint

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Cohen, P. R., Stanhope, P. M., & Kjeldsen, R. (1987). CLASSIFICATION BY SEMANTIC MATCHING. In Conference Proceedings - Annual Phoenix Conference (pp. 566-570). IEEE.