Extracting relevant attribute values for improved search

被引：13

作者：

Bergamaschi, Sonia ^{[1
]}

Guerra, Francesco

Orsini, Mirko

Sartori, Claudio

机构：

[1] Univ Modena, Informat & Commun Technol Doctorate Sch, I-41100 Modena, Italy

[2] Univ Bologna, Rimini Branch, I-40126 Bologna, Italy

来源：

IEEE INTERNET COMPUTING | 2007年 / 11卷 / 05期

关键词：

D O I：

10.1109/MIC.2007.105

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

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.

引用

页码：26 / 35

页数：10

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