摘要
为了解决云制造环境下的制造资源发现的语义异构、本体异构和搜索效率不高的问题,在建立了云制造资源及加工任务的统一本体模型之后,构建了资源匹配模型,将资源发现转化为制造资源本体和加工任务本体之间的映射匹配来求解,设计了资源发现智能匹配算法,将匹配流程分为状态匹配、领域匹配、功能匹配、服务匹配和综合匹配五个阶段,最后在云服务仿真环境下对文中所提智能算法进行了实际应用说明,并与基于关键词匹配算法进行了比较,比较结果证明该提智能匹配算法具有有效性和可行性。
There hava many problems such as semantic heterogeneity,ontonogy heterogeneity and lowsearch efficiency exist in resource discovery in cloud manufacturing environment. To solve these problems,the ontology-based cloud manufacturing resources and processing tasks information model were build. The model of resource matching was build. Resource discovery was be converted to mapping between manufacturing resources ontology and processing task ontology to solve. The intelligent matching algorithm of resource discovery was designed. M atching process was divided into five stages which were state matching,domain matching,founction matching,service matching and integrated matching. Finally,the proposed intelligent algorithm was carried on the actual application in the cloud simulation environment. The proposed intelligent algorithm and the algorithm based on keyword were been compared. The effectiveness and feasibility of the proposed intelligent algorithm was verified by the results of the comparison.
出处
《组合机床与自动化加工技术》
北大核心
2015年第11期157-160,共4页
Modular Machine Tool & Automatic Manufacturing Technique
基金
陕西省自然科学基金资助项目(2012JM7017)
关键词
本体映射
云制造
智能匹配
ontology mapping
cloud manufacturing
intelligent matching
