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Extracting Relevant Attribute Values for Improved Search

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4 Author(s)

A new kind of metadata offers a synthesized view of an attribute's values for a user to exploit when creating or refining a search query in data-integration systems. The extraction technique that obtains these values is automatic and independent of an attribute domain but parameterized with various metrics for similarity measures. The authors describe a fully implemented prototype and some experimental results to show the effectiveness of "relevant values" when searching a knowledge base.

Published in:

Internet Computing, IEEE  (Volume:11 ,  Issue: 5 )

Date of Publication:

Sept.-Oct. 2007

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