网格环境下基于语义关联的信息检索

为了满足网格环境中资源信息的大幅度增加对信息检索的性能越来越高的要求,对网格环境中的信息服务系统(MDS)进行了分析并指出其局限性,设计了网格环境下资源信息检索匹配算法,在MDS的发现系统中应用基于元数据语义关联的信息检索。实验实现了网格环境下基于所设计算法的信息检索,对目录式检索和语义关联检索进行了比较,证明了这种方法可以有效提高资源信息的检索效率。

Information query based on semantic association in grid environment

To meet the information query for the rapidly increasing resource information in grid, a arithmetic of resource information query matching based on metadata semantic association in the discover system of Metadata Directory Service (MDS) was proposed, after the disadvantage of the information service system MDS in grid environment was analyzed. Experimental results show that the arithmetic not only can implement information query in grid environment, but also can improve efficiency of resource information query compared the information query based on directory and semantic association.