Abstract: Aiming at the diversity, heterogeneous, dynamic and multi-restrictive characteristics of cloud manufacturing service in matching process, an Input,Output,Precondition,Effect(IOPE) 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 matchmaking. 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.

Key words: cloud manufacturing service, matching, Web ontology language for service, semantics, similarity

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。

关键词: 云制造服务, 匹配, Web服务本体描述语言, 语义, 相似度