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知识网络中知识存量非对称性演化过程研究 被引量:1

Research on the Evolution Process of Knowledge Storage Asymmetry in Knowledge Network
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摘要 运用知识转移、知识创新和知识存量理论的分析方法,提出知识网络中知识存量非对称性问题。通过案例分析,构建知识存量非对称性演化过程模型。认为在知识转移路径和学习状态的影响作用下,知识存量非对称性经历渗透破缺、弥合破缺、漂变平衡和稳定平衡4个阶段的演化过程。 By using the analysis methods of knowledge transfer,knowledge innovation and knowledge storage,this paper proposes the issue of knowledge storage asymmetry in knowledge network.By case study,the paper constructs evolution process model of knowledge storage asymmetry.The paper believes that by the influence of path and learning status of knowledge transfer,knowledge storage asymmetry goes through 4 phases of evolution process,such as osmotic breaking,closing breaking,drifting balance and stable balance.
作者 王斌
出处 《情报理论与实践》 CSSCI 北大核心 2016年第7期27-31,共5页 Information Studies:Theory & Application
基金 国家自然科学基金项目"基于本体的产品协同设计知识服务研究"的成果 项目编号:71001034
关键词 知识网络 知识存量 演化过程 knowledge network knowledge storage evolution process
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参考文献15

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