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互联网上的Web服务数目增加很快,但单个服务提供的功能仍然不能满足用户需要,所以有必要对服务进行组合来满足用户需要.状态空间搜索是服务组合的关键问题,随着服务规模的增大,状态空间成指数增长,导致组合爆炸问题,因此减少在服务组合时的状态搜索空间对提高服务组合效率有重要作用.提出了一种基于SWRL规则推理技术的语义Web服务组合方法,该方法利用规则先求取由输入、输出请求确定的闭包服务集,对服务组合中的状态空间搜索过程进行了优化,使发现效率得到了较大提高.通过空间信息服务＂洪水淹没分析库＂进行了组合实验,证明了该方法的可行性和高效性.“,”Although the number of Web services on Internet increasing rapidly,but the function provided by single service still cannot satisfy the customers＇ needs.So it is important that satisfying customers＇ needs with services composition.State-space searching is the key problem in services composition.With the services size increases,the state-space also increases by exponential that leads to combinatorial explosion problem.Thus reducing the state-space in the services composition plays an important role to improve services composition efficiency.This paper presents a new method based on SWRL rule reasoning while composite semantic Web services to improve the efficiency.This method optimizes the process of state-space search in services composition by rule reasoning;and it improves the services composition efficiency significantly.This paper does the experiment based on geospatial services ＂Flood Submerged Analysis＂ to demonstrate the feasibility and efficiency.