Mining method for service composition patterns based on artifact-aware

doi:10.13196/j.cims.2016.02.004

›› 2016, Vol. 22 ›› Issue (第2期): 312-323.DOI: 10.13196/j.cims.2016.02.004

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Mining method for service composition patterns based on artifact-aware

Online:2016-02-29 Published:2016-02-29
Supported by:
Project supported by the Hebei Provincial Natural Science Youth Foundation,China(No.F2015407039),and the Startup Foundation for Docotors of Hebei Normal University of Science & Technology,China(No.2013YB001).

基于Artifact感知的服务组合模式挖掘方法

刘海滨¹,刘国华²,黄立明¹,王颖³

1.河北科技师范学院工商管理学院
2.东华大学计算机科学与技术学院
3.燕山大学信息科学与工程学院

基金资助:
河北省自然科学青年基金资助项目(F2015407039);河北科技师范学院博士启动基金资助项目(2013YB001)。

Abstract

Abstract: To improve the mining quality of service composition,according to the correlation between services and artifacts,a new approach for mining service composition patterns based on artifact-aware aspect was presented.In this method,the frequent service execution patterns were mined with AprioriTid algorithm.The service composition patterns were obtained according to the complete business processes in the discovery service execution models of artifact lifecycle.The experimental results showed the effectiveness of the proposed method.

Key words: business process management, service oriented architecture, service composition, service frequent pattern, Artifact lifecycle

摘要： 为了提高服务组合挖掘结果的质量,根据流程模型中服务之间操作Artifact的关联模式,提出一种基于Artifact感知的服务组合模式挖掘方法。该方法首先采用AprioriTid算法,挖掘出频繁的服务执行模式;然后利用服务与Artifact的相关性,根据Artifact生命周期发现服务执行模式中的完整业务流程,挖掘出服务组合模式。通过实验验证了该方法的有效性。

关键词: 业务流程管理, 面向服务架构, 服务组合, 服务频繁模式, Artifact生命周期

CLC Number:

TP311.52

刘海滨,刘国华,黄立明,王颖. 基于Artifact感知的服务组合模式挖掘方法[J]. 计算机集成制造系统, 2016, 22(第2期): 312-323.

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Mining method for service composition patterns based on artifact-aware

基于Artifact感知的服务组合模式挖掘方法

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