一种基于语义关联的查询优化方法

doi:10.13190/jbupt.200606.107.meix

北京邮电大学学报 ›› 2006, Vol. 29 ›› Issue (6): 107-110.doi: 10.13190/jbupt.200606.107.meix

一种基于语义关联的查询优化方法

梅翔, 孟祥武, 陈俊亮, 徐萌

北京邮电大学网络与交换技术国家重点实验室，北京 100876

收稿日期:2005-12-27 修回日期:1900-01-01 出版日期:2006-12-30 发布日期:2006-12-30
通讯作者: 梅翔

A Query Refinement Scheme Based on Semantic Association Ranking

MEI Xiang, MENG Xiang-wu, CHEN Jun-Liang, XU Meng

State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China

Received:2005-12-27 Revised:1900-01-01 Online:2006-12-30 Published:2006-12-30
Contact: MEI Xiang

摘要/Abstract

摘要：

提出了一种综合词法关系和语义分析的查询优化方法。通过对查询关键字词法特性和本体实例之间语义关联强弱的分析，提高了查询关键字到本体概念映射的完整性和准确率，帮助搜索引擎对用户的意图做出有效推测，解决了传统搜索引擎不能很好理解用户意图的问题。设计实现了相应的查询优化系统，实验表明该系统可以有效提高搜索的准确率。

关键词: 搜索引擎, 查询优化, 语义关联, 词网

Abstract:

A query refinement scheme, which synthesizes the synonymic relation and the semantic association, is presented. By analyzing the synonymic characteristic of the key words and the intensity of semantic association among the ontology instances, the accuracy and completeness of the mapping from key word to ontology entities can be improved. A query refinement system is designed and implemented. The experimentation results show the system can optimize query input efficiently.

Key words: Web search, query refinement, semantic association, WordNet

中图分类号:

TP311

梅翔, 孟祥武, 陈俊亮, 徐萌. 一种基于语义关联的查询优化方法[J]. 北京邮电大学学报, 2006, 29(6): 107-110.

MEI Xiang, MENG Xiang-wu, CHEN Jun-Liang, XU Meng. A Query Refinement Scheme Based on Semantic Association Ranking[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2006, 29(6): 107-110.

[1]	程时端郭亮王文东. 社会搜索研究综述[J]. 北京邮电大学学报, 2013, 36(1): 1-13.
[2]	王菁华1,刘建毅1,2,王枞1. 语义网络结构下的词义消歧[J]. 北京邮电大学学报, 2006, 29(s2): 96-100.

一种基于语义关联的查询优化方法

A Query Refinement Scheme Based on Semantic Association Ranking

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 2

编辑推荐

Metrics

本文评价