摘要
针对云制造服务在匹配过程中的多样性、异构性、动态性和多约束性等特点,建立一种基于Web服务本体描述语言的云制造服务输入、输出、前提、效果匹配模型,研究了该模型匹配的参数匹配、属性匹配和综合匹配三个阶段。针对参数匹配过程中本体概念参数和约束条件参数的匹配度量化问题,给出结合语义相似度和基于蕴涵关系推理的量化方法及匹配算法。通过应用实例验证了该方法的有效性和可行性。
Aiming at the diversity, heterogeneous, dynamic and multi-restrictive characteristics of cloud manufactur ing service in matching process, an Input, Output, Precondition, Effect(lOPE) matching model based on Web Ontology Language for Service(OWL-S) for cloud manufacturing service was proposed, and the model matching process was divided into three phases such as parameter matchmaking, attribute matchmaking and comprehensive match- making. For the matching degree computing problems of ontology concept parameters and constraint parameters in parameter matching process, the quantitative method and the matching algorithm were introduced. The effectiveness and feasibility of proposed method was verified by an application case.
出处
《计算机集成制造系统》
EI
CSCD
北大核心
2012年第7期1494-1502,共9页
Computer Integrated Manufacturing Systems
基金
国家自然科学基金资助项目(51175528)
国家863计划资助项目(2011AA040504)~~
关键词
云制造服务
匹配
Web服务本体描述语言
语义
相似度
cloud manufacturing service
matching
Web ontology language for service
semantics
similarity