[Purpose/Significance] Knowledge graph is of great significance for reconstructing resources, promoting resource sharing, reuse and further development in digital humanities. By fully combining human wisdom and machine intelligence through collaborative intelligence, can the knowledge graph in digital humanities be constructed efficiently and with high quality.[Method/Process] This paper proposed the PDC approach of constructing knowledge graphs in digital humanities based on collaborative intelligence, and analyzed the division of work and cooperation between human and AI in the context of constructing knowledge graph in digital humanities. The trend from human-oriented to AI-oriented in this process was also summarized.[Result/Conclusion] This paper further demonstrated the feasibility and effectiveness of collaborative intelligence through a case of genealogy knowledge graph construction, focusing on collaborative intelligence in genealogy information extraction, and showed the advantage of collaborative intelligence through qualitative and quantitative evaluation. Collaborative intelligence is not only the trend of constructing knowledge graphs in digital humanities, but also has implications for the practice of organizing digital resources and constructing knowledge graphs in other fields.
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