中文摘要：

大数据知识表征的机制包括技术转换、认知发现、实践应用三个环节及支撑体系，该机制具有动态性、协同性、反馈性和主体能动性等特征。每个环节都具有相应的结构与运行方式，彰显大数据知识在技术转换、认知发现和实践应用中的不同形态。从本体论看，大数据知识表征彰显对象的包容性；从认识论看，大数据知识表征彰显认识主体的多元性和认识过程的复杂性；从方法论看，表征彰显相关性与因果性、归纳法与演绎法的辩证统一；从实践论看，是德性知识论和社会建构论的应用典范。

英文摘要：

The mechanism of knowledge representation of big data includes three aspects ： technology transfer, cog- nitive discovery and practice application. The mechanism has the characteristics of dynamic, cooperative, feedback and subjective initiative. Each link has the corresponding structure and operation mode, which shows the different forms of the knowledge of the big data in the technology transfer, the cognitive discovery and the practice applica- tion. In the view of ontology, big data highlight the knowledge representation object inclusive ; in the view of episte- mology, diversity and complexity of the understanding process of big data highlight the knowledge representation of cognitive subject; from a methodological perspective, they highlight the characterization of relativity and causality of dialectical unity, inductive method and deductive method; from the viewpoint of the theory of practice, it is a good example of the application virtue epistemology and social constructivism.