多数据源查询的几种优化方法

Some Methods of Optimizing the Multi-database Query

信息时代带来了多数据源的集成,在多数据源研究领域中,查询是迫切需要解决的问题。信息异构,信息量大是多数据源查询的特点。本文介绍了几种优化多数据源查询的方法,改进算法的线性模型,粗糙集分类模型,改进结构的分级查询模型,XML统一数据模型,以启发大家思路。

Information Age brings the integration of multi - database. The query is the urgent problem in the field of multi - database. The query of multi - database is characteristic of differ-framework and a great deal in information. This article presents some methods of optimizing the query of multi - database. Linearity model and Rough sets model come forth at improving on arithmetic , while Class Query model and XML unification model present themselves at improving on structure. I hope that you can have some elicitation from this article.