@inproceedings{7c77d9d5786d448db507ff5750148388,
title = "CLASSIFICATION BY SEMANTIC MATCHING.",
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.",
author = "Cohen, {Paul R.} and Stanhope, {Philip M.} and Rick Kjeldsen",
note = "Funding Information: 1. This research was made possible in part by the Pet Care Trust Foundation, Washington, D.C. We wish to acknowledge the contributions of Daun Martin, Camille McElwain, Willow Gormley, Tony Ezetta, C{\'e}line Cazorla, and Kristie Morse in this research.",
year = "1987",
language = "English (US)",
isbn = "0818607653",
series = "Conference Proceedings - Annual Phoenix Conference",
publisher = "IEEE",
pages = "566--570",
booktitle = "Conference Proceedings - Annual Phoenix Conference",
}