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 - 1987

    Publication series

    NameConference Proceedings - Annual Phoenix Conference

    ASJC Scopus subject areas

    • General Engineering

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