多粒度制造资源统一模型及其语义服务发现  

Unified model of multi-granularity manufacturing resource and its semantic service discovery

作　　者：谭伟[1] 姚锡凡[2] 刘璇[1] 张洁[1,2] 

机构地区：[1]东莞理工学院计算机学院,广东东莞523808 [2]华南理工大学机械与汽车工程学院,广州510640

出　　处：《中国科技论文》2013年第10期1044-1049,共6页China Sciencepaper

基　　金：国家高技术研究发展计划(863计划)资助项目(2007AA04Z111);国家自然科学基金资助项目(51175187);广东省教育部产学研结合资助项目(2012B091100016);东莞市科技计划资助项目(201010814015);东莞市高等院校科研机构科技计划资助项目(2011108102034)

摘　　要：为了实现企业间的业务流程协同,提出了多粒度资源统一模型及其语义化方法,并实现了语义发现算法。将业务流程片段抽象成不同粒度大小的流程复合资源和单粒度资源,基于扩展OWL-S对多粒度资源进行了语义封装,并构建了领域业务流程本体和功能活动本体,对多粒度资源进一步语义化。进而给出了功能、过程和服务质量的三阶段语义匹配算法,并比较了复合粒度和单粒度资源的匹配性能。结合一个制造业务流程任务实例说明了多粒度资源模型及其语义化的应用过程。最后,通过仿真实验验证了模型、语义化和算法的有效性。In oMer to realize business process collaboration among enterprises, the unified model for multi granularity resource and its semantic method are provided, and the semantic discovery algorithm is achieved. The process fragment is abstracted into the process compound resource and single grain resource according to its granule size. A multi-granularity resource is encapsulated in- to semantic service based on extended OWL-S, and the construction of the business process ontology and business activity ontolo gy performs further ~mantization for the multi-granularity resource. Semantic matching algorithms based on the three stages of function, flow and quality of service （QoS） are given. The composite particle size resource is compared with single grain resource on their matching performance. An example of manufacturing business process task is given to illustrate the application of multi- granularity resource model and its semantization. Finally, the results of simulation experiment verify the validity of the model, semantization and related algorithms.

关 键 词：业务流程 协同制造 多粒度资源 业务流程本体 活动本体 语义服务化 匹配 

分 类 号：TP391.1[自动化与计算机技术—计算机应用技术]