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Article
An Application of Plausible Reasoning to Information Retrieval
published in SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval by the Association for Computing Machinery (1996)
  • Farhad Oroumchian, Syracuse University
  • Robert N Oddy, Syracuse University
Abstract
This work explores the use of plausible inferences as a means of retrieving relevant documents. Collins and Michalski’s theory of plausible reasoning has been modified to accommodate information retrieval. Methods are proposed to represent document contents by logical terms and statements, and queries by incomplete logical statements. Extensions to plausible inferences are discussed. Two versions of the extended plausible reasoning system were implemented, one using dominance weights (described in the paper) and the other using tf. Idf (Term Frequency Inverse Document Frequency) weights. Experiments were conducted using the titles and abstracts of the CACM collection and it was found that both versions of the extended plausible reasoning system are better than the vector space model and the system using dominance weights performed better than the system with tf. Idf weights.
Keywords
  • Plausible inferences
Publication Date
1996
Publisher Statement
"© ACM, 1996. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in PUBLICATION, SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval, in 1996. doi>10.1145/243199.243271
Citation Information
Farhad Oroumchian and Robert N Oddy. "An Application of Plausible Reasoning to Information Retrieval" published in SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval by the Association for Computing Machinery (1996)
Available at: http://works.bepress.com/robert_oddy1/22/