KeyQuery : improving the preciseness of search engines by automatic translation of keywords into structured queries

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Citeable URL: https://ir.library.oregonstate.edu/concern/graduate_projects/qf85nk64g

Attribute Name	Values
Creator	He, Jianglin
Abstract	We demonstrate an approach to transform keyword queries automatically into queries that combine keywords appropriately by boolean operations, such as and and or. Most current search engines will preprocess the queries before they really use these queries to search locally stored files or web pages. However, the search engines usually only provide spell-check or word subsumption. Some search engines support boolean operators. However, typical users do not use them or use them incorrectly. Our approach helps to improve the precision of keyword queries. It is based on the analysis of keywords in a taxonomy. The transformed queries will be sent to search engines and the returned results will be presented to users. We evaluate the effectiveness of our approach by comparing the precision of the returned results with the precision of original results. Keywords: Search engine, boolean operator, query translation, taxonomy, precision
Resource Type	Capstone Project
Date Issued	2002-11-26
Degree Level	Master's
Degree Name	Master of Science (M.S.)
Degree Field	Computer Science
Degree Grantor	Oregon State University
Commencement Year	2002
Advisor	Erwig, Martin
Academic Affiliation	Computer Science
Rights Statement	In Copyright
Publisher	Oregon State University
Peer Reviewed	No
Language	English [eng]

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