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Journal of Information Science
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A scaleable technique for best-match retrieval of sequential information using metrics-guided search

J. Gerard Wolff

School of Electronic Engineering and Computer Systems, University of Wales, Bangor, Gwynedd, Wales, UK

A new technique is described for retrieving infor mation by finding the best match or matches between a textual 'query' and a textual database. The technique uses principles of beam search with a measure of probability to guide the search and prune the search tree. Unlike many methods for comparing strings, the method gives a set of alternative matches, graded by the 'quality' of the matching achieved.

Journal of Information Science, Vol. 20, No. 1, 16-28 (1994)
DOI: 10.1177/016555159402000103


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