摘要
提出了一种以数据为中心的协同业务流程服务伙伴推荐方法。首先,给出了以Artifact为中心的协同业务流程模型及Artifact协同快照的定义。其次,根据初始服务发起伙伴的Artifact相似性计算,获取相关Artifact协同快照集。第三,通过Artifact协同快照挖掘分析,获得Artifact-服务伙伴关联模式集合及其构造的Artifact-服务伙伴关联二部图模型。第四,利用蚁群优化算法在Artifact-服务伙伴关联二部图中获取最优服务伙伴协同路径。
The service partner recommendation method of data-centric collaboration business process was proposed.Definitions of Artifact-centric collaboration business process model and Artifact collaboration snapshot were introduced.The set of relevant Artifact snapshots was gained according to the Artifact similarity computation based on initial service partners.The association pattern and bipartite graph model were obtained through the Artifact collaborative snapshot mining analysis.The optimum service partner collaborative path was acquired with the ant colony optimization algorithm in the service partner bipartite graph.
作者
刘海滨
柴朝华
李晖
LIU Haibin;CHAI Zhaohua;LI Hui(School of Business Administration,Hebei Normal University of Science&Technology,Qinhuangdao 066004,China)
出处
《河北科技师范学院学报》
CAS
2022年第4期63-71,共9页
Journal of Hebei Normal University of Science & Technology
基金
河北省高等学校人文社会科学青年拔尖人才项目(项目编号:BJ2020064)阶段性成果。
关键词
协同业务流程
面向服务架构
ARTIFACT
服务伙伴推荐
蚁群优化
Collaboration business process
service oriented architecture
Artifact
service partner recommendation
ant colony optimization