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计算机工程 ›› 2011, Vol. 37 ›› Issue (14): 53-55. doi: 10.3969/j.issn.1000-3428.2011.14.016

• 软件技术与数据库 • 上一篇    下一篇

基于控制流挖掘的知识维护算法

张 曌 1,朱东华 1,李 明 2   

  1. (1. 北京理工大学管理与经济学院,北京 100081;2. 北京航空航天大学经济管理学院,北京 100191)
  • 收稿日期:2010-12-05 出版日期:2011-07-20 发布日期:2011-07-20
  • 作者简介:张 曌(1974-),女,博士,主研方向:知识管理,知识系统工程;朱东华,教授;李 明,博士
  • 基金资助:
    国家自然科学基金资助项目(70639001);中国博士后科学基金资助项目(20090450297)

Knowledge Maintenance Algorithm Based on Control Flow Mining

ZHANG Zhao 1, ZHU Dong-hua 1, LI Ming 2   

  1. (1. School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China; 2. School of Economics and Management, Beihang University, Beijing 100191, China)
  • Received:2010-12-05 Online:2011-07-20 Published:2011-07-20

摘要: 针对知识库中知识维护的控制问题,在分析过程挖掘特点的基础上,提出一个基于过程挖掘的知识维护过程框架和一种基于控制流挖掘的知识维护算法,用于对知识维护进行优化,保证知识库中知识的质量,提高知识重用和共享效果。实验结果证明,该算法能较好地反映知识维护的实际情况。

关键词: 知识管理, 控制流挖掘, 知识库, 知识维护, 过程挖掘

Abstract: Aiming at the problem of controlling knowledge maintenance process, a framework of knowledge maintenance process and a novel knowledge maintenance algorithm based on control flow mining are proposed according to the characteristics of process mining. The process of knowledge maintenance is optimized by the algorithm, which ensures the quality of knowledge in the knowledge repository and improves the effects of knowledge reusing and sharing. Test result can reflect the actual situation of the knowledge maintenance well.

Key words: knowledge management, control flow mining, knowledge repository, knowledge maintenance, process mining

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