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Extracting relevant attribute values for improved search

delete2007-09-01
delete15
PRE
AI
S
Sonia Bergamaschi *
G
Guerra, Francesco
M
Mirko Orsini
C
Claudio Sartori
DOI：10.1109/MIC.2007.105delete
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Abstract

Abstract

En 中文
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.
Keywords:
VALIDATION

Journal

IEEE Internet Computing cover
IEEE Internet Computing
IF:
4.4
Papers:
2.0K
Citations:
2.0K

Organization

No organization information available