中文摘要：

大数据时代,用户需求对知识组织水平要求日益提高,针对问题和问题解答所需数据具有多、冗、杂、乱和新等特点,传统先组式组织方式无法满足有效解答用户的问题,因此在文章中,问题驱动从宏观架构知识的组织,借助知识颗粒度和知识单元来设计知识组织过程,通过问题导航知识单元的获取、序化、关联、再生和应用,以知识仓库来存储知识,针对不同类型的问题,以知识单元作为节点,以知识关联为纽带创建面向问题的知识单元关联网。

英文摘要：

In the age of big data, the requirements of user demand for knowledge organizing level is increasing day by day. According to the characteristics of problems-solving data, such as multiple, redundant, complex, chaotic and new, the tradi- tional precoordination organizing mode cannot be satisfied with the effective answer of user problems. Therefore, in this paper, the problem-driven designs the process of knowledge organizing based on the macro framework knowledge organizing, knowledge granu- laxity and knowledge unit. The paper navigates the acquisition, ordering, correlation, regeneration and application of knowledge unit through the problems, and uses knowledge warehouse to store knowledge. According to the different types of problems, the paper takes knowledge unit as the node, and knowledge correlation as the link, which in order to construct knowledge unit correlation net oriented to the problems.