网格数据的语义查询优化研究

Study on semantic query optimization of grid data

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。

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.