多粒度制造资源统一模型及其语义服务发现

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。

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

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.