Study on semantic query optimization of grid data

doi:10.3778/j.issn.1002-8331.2009.02.005

Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (2): 16-20.DOI: 10.3778/j.issn.1002-8331.2009.02.005

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Study on semantic query optimization of grid data

LUO Yong-hong^1,2,CHEN Te-fang¹,ZHANG You-sheng³

1.School of Traffic and Transportation Engineering，Central South University，Changsha 410083，China
2.College of Computer and Communication Engineering，Changsha University of Science and Technology，Changsha 410076，China
3.College of Physics and Information Science，Hunan Normal University，Changsha 410081，China

Received:2008-09-15 Revised:2008-10-14 Online:2009-01-11 Published:2009-01-11
Contact: LUO Yong-hong

网格数据的语义查询优化研究

罗永红^1,2,陈特放¹,张友生³

1.中南大学交通运输工程学院，长沙 410083
2.长沙理工大学计算机与通信工程学院，长沙 410076
3.湖南师范大学物理与信息科学学院，长沙 410081

通讯作者: 罗永红

Abstract

Abstract: In the environment of heterogeneous data sources integration using grid technology，the problem of semantic query can be solved through introducing ontology.In order to improve the performance of semantic query in grid，the paper proposes a GSQO（Grid Semantic Query Optimizer），GSQO mainly implements optimization of the following three modules：（1）Semantic extension of user query；（2）Resource selection；（3）Parallel processing.The result of experiment shows that GSQO provides better query performance through using foregoing optimization strategies.

Key words: grid, ontology, semantic query, Grid Semantic Query Optimizer（GSQO）

摘要： 利用网格技术实现的异构数据源集成环境中，引入本体可以解决网格数据的语义查询问题。为了提高网格环境中语义查询的效率，提出了一个基于本体的语义查询优化器（GSQO），该优化器主要实现了以下3个模块的优化：（1）用户查询语义扩展；（2）资源选择；（3）并行处理。实验结果表明，GSQO通过采取上述优化策略提供了较好的查询效率。

关键词: 网格, 本体, 语义查询, 网格语义查询优化器

LUO Yong-hong^1,2,CHEN Te-fang¹,ZHANG You-sheng³. Study on semantic query optimization of grid data[J]. Computer Engineering and Applications, 2009, 45(2): 16-20.

罗永红^1,2,陈特放¹,张友生³. 网格数据的语义查询优化研究[J]. 计算机工程与应用, 2009, 45(2): 16-20.

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Study on semantic query optimization of grid data

网格数据的语义查询优化研究

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