To support the rapid automatic services composition and fulfill multi-quality of service （multi- QoS） demand, we propose a novel approach to realize services composition automatically by a prefihering process. Aimed at a set of web services with similar functionality and different quality of service （QoS） , a semantic services chain is given and a corresponding constructing algorithm is proposed to construct the data structure. A pre-filtering process is put forward to find whether a composition service before planning exists. It can avoid aborted planning. An optimal planning algorithm is proposed which can choose the most suitable service from a lot of similar candidate services based on semantic service chains and multi-QoS values. The algorithms can improve the correctness and automation performances of automated semantic web services composition. As an example, a concrete composite process is analyzed. Experimental results show the validity of the composite process.
分析了管理信息系统的现状与不足,在作者单位原有的管理系统基础之上,通过对数据仓库需求分析,提出将数据挖掘技术应用于高校管理系统中。按照数据仓库的设计准则,探讨了数据仓库的模型设计、结构设计。基于SQL Server 2005建立数据仓库,包括学生就业指导和成绩分析两个主题数据集,描述了数据仓库模型设计、结构设计。
