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标题：Privacy-preserving similarity computing of cross-organizational message interaction processes
作者：Zhou, Changhong ;Zeng, Qingtian ;Duan, Hua ;Lu, Faming ;Diao, Xiuli ;Liu, Cong
作者机构：[Zhou, Changhong ;Zeng, Qingtian ;Lu, Faming ;Diao, Xiuli ;Liu, Cong ] College of Information Science and Engineering, Shandong University of Science 更多
通讯作者：Zeng, Qingtian
来源：Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS
出版年：2016
卷：22
期：2
页码：395-405
DOI：10.13196/j.cims.2016.02.012
摘要：To construct collaborative process and recommend collaboration partner effectively, a cross-organizational message interaction processes similarity computation approach was particular researched. The rules were given to transform the organizational view models to public view models, which considered the control-flow structures of sequence, choice, parallel and loop fully. Oriented to public view model of different organizations, the individual needs of privacy preservation were guaranteed. Based on public view model, a construction method for message interaction process oriented to organization set was provided. By considering main factors involved in the message interaction, a similarity computing method of message interaction processes was introduced from the global structure similarity and the multivariate structure similarity respectively. The effectiveness of the proposed approach was verified by a running example.
© 2016, CIMS. All right reserved.
收录类别：EI
资源类型：期刊论文

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