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[目的/意义]大数据时代,数据具有数据体量大、数据类型多、数据处理速度快、数据价值密度低4V特征。数据的4V特征将影响着以知识为研究对象的知识管理。大数据环境下,知识管理急需变革。[方法/过程]基于此,以大数据的4V特征为出发点,提出大数据环境下的知识管理框架模型——聚识成智,并从“聚”“识”“成”“智”4个方面对知识管理框架模型进行阐述。[结果/结论]模型实现了数据—知识—智慧的转变,从而更好地开展知识服务、智慧服务,达到大数据环境下知识管理的目的。
[Purpose / Significance] In the era of big data, data has the characteristics of large data volume, large data types, fast data processing, and low data value density of 4V. The 4V characteristics of the data will influence the knowledge management with knowledge as the research object. In the big data environment, knowledge management urgently needs change. [Method / Process] Based on this, taking the 4V feature of big data as a starting point, this paper proposes a knowledge management framework model in big data environment, “Wisdom ” four aspects of knowledge management framework model elaborated. [Result / Conclusion] The model realizes the transformation of data-knowledge-wisdom so as to better carry out knowledge service and wisdom service and achieve the goal of knowledge management in big data environment.