A query optimization based on semantic user focus

被引：1

作者：

Wang, Xiaoyun ^{[1
]}

Liu, Jiayin ^{[1
]}

机构：

[1] Hangzhou Dianzi Univ, Res Inst Management Sci & Informat Engn, Hangzhou, Zhejiang, Peoples R China

来源：

FIRST INTERNATIONAL WORKSHOP ON DATABASE TECHNOLOGY AND APPLICATIONS, PROCEEDINGS | 2009年

关键词：

Data Mining; SUF; ontology; query expansion;

D O I：

10.1109/DBTA.2009.46

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Based on the semantic query expansion, we propose a novel approach to re-rank the query result that enables users to retrieve the required documents quickly. Our technique is different from others in that (1) Ontology entries are added to the query by disambiguating word senses. (2) We propose a new algorithm to mine frequent patterns, which is used to construct semantic user focus. (3) It utilizes semantic user focus (SUF) to re-rank documents. Finally, the proposed approach experimentally demonstrates significantly improved retrieval precision.

引用

页码：513 / 516

页数：4

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