Phonetic self-improving search engine

Details Phonetic self-improving search engine Phonetic self-improving search engine

2005-12-13

2005-12-13

Le, Uyen (Department: 2161)

Data processing: database and file management or data structures

Database design

Data structure types

C704S238000

Reexamination Certificate

active

06976019

ABSTRACT:
The present invention relates to phonetic self-improving search engines. The search engine may include a phonetic database having a plurality of phonetic equivalent formulas stored therein, each of the phonetic equivalent formulas being associated with at least one respective pronounceable unit. After an initial query in a primary database fails to produce a positive result, an error memory database may be queried with a search string to obtain a positive result based on records of previously failed searches which ultimately found a positive result. If no record is found, the search string may be parsed into at least one pronounceable unit. Phonetically equivalent formulas may be applied to the at least one pronounceable unit to create at least one phonetic search string which is re-queried into the error memory database and the primary database. Successful positive results may be stored with the search string in the error memory database.

REFERENCES:
patent: 5832428 (1998-11-01), Chow et al.
patent: 6144336 (2000-11-01), Preston et al.
patent: 6144958 (2000-11-01), Ortega et al.
patent: 6311182 (2001-10-01), Colbath et al.
patent: 6363380 (2002-03-01), Dimitrova
patent: 6731735 (2004-05-01), Cook
“Phonetic String Matching: Lessons from Information Retrieval” Zobel, Justin and Dart, Philip (1996) Melbourne, Australia.
“Handling Spelling Errors in Online Catalog Searches” Drabenstott, Karen M. and Weller, Marjorie S. (1996) Melbourne, Australia.
“Applications of Approximate Word Matching in Information Retrieval” French and Powell, Schutman (1997) Charlottesville, Virginia.

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