Graduate Project


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

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  • 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
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