[目的/意義]大數據時代,數據具有數據體量大、數據類型多、數據處理速度快、數據價值密度低4V特征。數據的4V特征將影響著以知識為研究對象的知識管理。大數據環境下,知識管理急需變革。[方法/過程]基于此,以大數據的4V特征為出發點,提出大數據環境下的知識管理框架模型--聚識成智,并從"聚""識""成""智"4個方面對知識管理框架模型進行闡述。[結果/結論]模型實現了數據-知識-智慧的轉變,從而更好地開展知識服務、智慧服務,達到大數據環境下知識管理的目的。

[Purpose/significance] In big data era,data have the characteristics of big volume,great variety,fast velocity and low value. The 4V characteristics of data will affect knowledge management which takes knowledge as research object. In this circumstance,knowledge management needs to reform. [Method/process] From the 4V characteristics of data,this paper proposes the framework model of knowledge management in big data era: aggravating knowledge into wisdom. And from the four processes of"aggravating""knowledge""into""wisdom",the framework model of knowledge management is described. [Result/conclusion]In summary,the model proposed realizes the transform of data-knowledge-wisdom,which helps to carry out knowledge service and wisdom service,and achieve the purpose of knowledge management in big data era.