计算机集成制造系统 ›› 2019, Vol. 25 ›› Issue (第4): 985-992.DOI: 10.13196/j.cims.2019.04.022

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标签匹配方法对业务流程模型相似性影响的分析

闫志强1,李少鹏1+,胡磊1,闻立杰2,刘从屹3,高迎1,陈一1,刘克强1   

  1. 1.首都经济贸易大学信息学院
    2.清华大学软件学院
    3.首都经济贸易大学国际经济管理学院
  • 出版日期:2019-04-30 发布日期:2019-04-30
  • 基金资助:
    国家重点研发计划资助项目(2016YFB1001101);国家自然科学基金资助项目(61402301);北京市社会科学基金资助项目(16SRB021);首都经济贸易大学2018年学术骨干培养计划—后备学科带头人资助项目(00791854840404)。

Analysis on effects of label matching techniques to business process similarity

  • Online:2019-04-30 Published:2019-04-30
  • Supported by:
    Project supported by the Key Research and Development Plan,China(No.2016YFB1001101),the National Natural Science Foundation,China(No.61402301),the Beijing Municipal Social Science Foundation,China(No.16SRB021),and the Academic Backbone Program of Capital University of Economics and Business(CUEB)-Reserve Academic Leader,China(No.00791854840404).

摘要: 两个业务流程模型间活动标签的匹配对计算流程模型相似性十分关键。为了分析不同标签匹配方法对业务流程模型相似性的影响,采用两种基于句法和两种基于句义的标签匹配方法,分别将其整合到贪婪算法中,形成4个业务流程模型相似性算法并运用3种不同的组织真实业务流程模型对这些算法的搜索准确率进行了测试。结果表明,目前阶段基于句法的方法适用范围更广,基于句义方法的优化空间很大。最后,有针对性地提出了进一步提高业务流程模型匹配准度的建议。

关键词: 业务流程模型, 标签匹配, 编辑距离, 相似性, 基于句法的方法, 基于句义的方法

Abstract: The matching between labels from two business process models is an essential step in computing business process similarity.To analyze the effects of different label matching techniques to business process similarity,two syntax-based label matching techniques and two semantics-based methods were used,which had been integrated into greedy algorithm to form four similarity computation algorithms of business process.Three actual business process models from different organizations were applied to test the precession of these algorithms.The result showed that the syntax-based methods had a more widely application and there existed plenty of room for optimization of semantics-based methods.Three recommendations were proposed to improve the efficiency of process model matching techniques.

Key words: business process model, label matching, edit-distance, similarity, syntax-based method, semantics-based method

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