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Science 30 August 1991:
Vol. 253. no. 5023, pp. 1012 - 1015
DOI: 10.1126/science.253.5023.1012
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Articles

Global Text Matching for Information Retrieval

GERARD SALTON 1 and CHRIS BUCKLEY 1

1 Department of Computer Science, Cornell University, Ithaca, NY 14853

An approach is outlined for the retrieval of natural language texts in response to available search requests and for the recognition of content similarities between text excerpts. The proposed retrieval process is based on flexible text matching procedures carried out in a number of different text environments and is applicable to large text collections covering unrestricted subject matter. For unrestricted text environments this system appears to outperform other currently available methods.

Submitted on March 13, 1991
Accepted on June 5, 1991


THIS ARTICLE HAS BEEN CITED BY OTHER ARTICLES:
Gauging Similarity with n-Grams: Language-Independent Categorization of Text.
M. Damashek (1995)
Science 267, 843-848
   Abstract »    PDF »
Automatic Analysis, Theme Generation, and Summarization of Machine-Readable Texts.
G. Salton, J. Allan, C. Buckley, and A. Singhal (1994)
Science 264, 1421-1426
   Abstract »    PDF »
Purposes and practices of text retrieval.
J. Meadows (1992)
Journal of Information Science 18, 83-87
   PDF »
Developments in Automatic Text Retrieval.
G. SALTON (1991)
Science 253, 974-980
   Abstract »    PDF »


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Science. ISSN 0036-8075 (print), 1095-9203 (online)