摘要
针对Web服务在自动组合中出现的问题,提出一种基于语义标注的Web服务自动发现与组合模型。该模型是基于本体技术和OWL-S标准的发展与完善,模型初始化阶段引入语义网拓扑结构,进而将用户服务需求通过语义标注规范化,将其视为"新服务"加入到已建立的语义网中,然后再通过web服务发现组合算法,自动发现最优的Web服务组合以无歧义的满足用户的需求。
In order to resolve web services composition problems, a web service discovery and composition model based on automatic semantic annotation is proposed. The model is the improvement and development of ontology technology and OWL-S standards. The structure of semantic topology is introduced in the model initialization phase. Then, the user demand is standardized through semantic annotation. The standardized user demand is regarded as "new services" and added to the established semantic network. . Finally, the combination algorithm of web service discovery is used to automatically find the optimal web services combination to meet the user unambiguous needs.
出处
《微计算机信息》
2011年第12期118-119,46,共3页
Control & Automation
基金
基金申请人:王如龙
项目名称:结合脑电特性的嗅觉神经系统介观整合模型及其应用研究
基金颁发部门:国家自然科学基金委(60901080)