中文摘要：

[目的／意义]从理论层面研究网络大数据应用的目标、过程和存在的数据问题。为厘清网络大数据应用各个环节的内在机理提供分析依据。[方法／过程]首先依据DIKWA链条，提出网络大数据应用的目标；其次，分析网络大数据应用的环节和基本阶段，建构应用过程模型；最后，分析在应用过程中会遇到的数据问题。[结果／结论]网络大数据应用的目标为实现知识发现和提供决策支持；网络大数据应用包含采集、组织、处理、转换、利用5个环节和数据开放、数据保管和数据使用3个基本阶段；数据应用过程中会存在着数据过剩和知识贫乏的问题，因此需要明晰数据识别和传播时出现的失真与自净的规律特征，理解基于知识螺旋实现的知识发现与增长的基本原理。

英文摘要：

[Purpose/significance] This paper mainly focuses on the goal, process and data issues of network big da- ta application in the aspect of theory. It provides the basis of the analysis to clarify the inner mechanism of the network da- ta applications. E Method/process ] Firstly, the study puts forward the goal of big data applications according to the DIK- WA chain. Secondly, it analyzes network big data application links and stages, and constructs the process model. Finally, it analyzes the problems existing in the application process. [ Result/conclusion] To realize knowledge discovery and provide decision support are the goals of network big data applications. Network data application contains five links （ col- lecting, organizing, processing, conversion and using） and three basic stages（open data, stewardship and usefulness）. There are the issues of ＂Excess data＂ and ＂Poor knowledge＂ in the process of data application. Therefore, it is needed to clear the features of ＂distortion＂ and ＂self purification＂ during the process of identification and diffusion of network big data, and explore principles and rules of knowledge discovery and growth based on the knowledge spiral.