Grid is emerging as a practical standard for information exchange over the Web, while businesses and enterprises generate and exchange large amounts of grid data daily. One of the major challenges is how to searching this data efficiently. Searching can be represented as linked patterns. Some researchers have developed algorithms that reduce the needless results that are generated during searching processing, while others have introduced recording methods that locate the position of elements, enabling the searching process to be answered by taking the records without searching the original grid files. In this paper we represent a method that are based on concepts of the data being searched, and introduce content and keyword searches in grid databases.%商业企业每天产生大量的网格数据,作为网页信息交换的实际标准,最重要的挑战之一是如何有效地进行数据搜索,数据搜索可以以链接的方式进行。一些研究人员已经研究出了演算法,以减少搜索过程中产生的无效信息。另一些研究人员引入了记录法,可以进行相关元素的定位,无需搜索原始网格文档,通过记录的方式完成搜索过程。文中介绍的方法是基于正在被搜索的数据的概念,以及对网格数据库的内容搜索及关键字搜索,使用概念搜索可以提高搜索效率。
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