Big Data Knowledge Engineering is different from traditional knowledge engineering that relies on domain experts. In addition to authoritative knowledge sources, the knowledge mainly comes from user-generated content (UGC), which has the characteristics of massive heterogeneity, and the knowledge base needs to improve and proliferate itself. The knowledge base needs to be self-improving and proliferating, and the problem solving process learns from user interaction.