Abstract
We demonstrate an approach to transform keyword queries automatically into queries that combine keywords appropriately by boolean operations, such as and and or. Our approach is based on an analysis of relationships between the keywords using a taxonomy. The transformed queries will be sent to a search engine, and the returned results will be presented to the user. We evaluate the effectiveness of our approach by comparing the precision of the results returned for the generated query with the precision of the result for the original query. Our experiments indicate that our approach can improve the precision of the results considerably.
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Erwig, M., He, J. (2003). KeyQuery – A Front End for the Automatic Translation of Keywords into Structured Queries. In: Mařík, V., Retschitzegger, W., Štěpánková, O. (eds) Database and Expert Systems Applications. DEXA 2003. Lecture Notes in Computer Science, vol 2736. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45227-0_49
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DOI: https://doi.org/10.1007/978-3-540-45227-0_49
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