摘要
为了支持服务资源的高效配置和确保云制造服务的公正可靠,提出一种基于本体语义的云制造服务供需智能匹配方法。通过建立具有语义关系的云制造服务资源本体来形成纵横扩展的制造服务资源本体语义词库,并以此来实现快速高效的服务资源语义搜索,最后通过考虑了多方面因素的综合匹配算法,来实现云制造服务的供需智能匹配。本体语义词库的建立、语义相似相关度的计算和综合匹配算法的构建,分别构成了这种供需智能匹配方法的前提、核心和支撑。
In order to support the efficient configuration of service resources and ensure the justice as well as reliability of cloud manufacturing service,this paper proposes an intelligent matching method based on ontology semantics for demand and supply of cloud manufacturing service.Through establishing service resource ontology with semantics relation,a vertical and horizontal extended manufacturing service resource ontology semantic thesaurus was formed to realize the high speed and efficiency of service resources semantic searching,and finally a comprehensive matching algorithm which has taken many factors into consideration was applied to achieve the intelligent matching of supply and demand about cloud manufacturing services.The establishment of ontology semantic dictionary,computing of semantic similarity and relevancy degree and construction of comprehensive matching algorithm,respectively,constitute the premise,core and support of this method.
出处
《湖北工业大学学报》
2015年第1期47-50,76,共5页
Journal of Hubei University of Technology
基金
国家"十二五"高技术研究发展计划(863计划:2012AA051707)
关键词
云制造服务
本体语义词库
语义相似相关度
综合匹配算法
cloud manufacturing service
ontology semantic thesaurus
semantic similarity and relevancy degree
comprehensive matching algorithm