基于SWRL规则推理的空间信息服务组合  

SWRL rule reasoning based geospatial Web services composition

作　　者：王志华[1] 樊红[2] 杜武[2] 

机构地区：[1]武汉大学计算机学院,湖北武汉430072 [2]武汉大学测绘遥感信息工程国家重点实验室,湖北武汉430079

出　　处：《武汉大学学报（工学版）》2012年第4期523-528,共6页Engineering Journal of Wuhan University

基　　金：国家自然科学基金项目(编号:40971243);武汉大学-甲骨文空间数据库创新研究中心项目(编号:200903)

摘　　要：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.

关 键 词：语义WEB服务组合 OWL-S SWRL 规则推理 知识库 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]