基于协作智能的数字人文领域知识图谱构建

Construction of Knowledge Graphs in Digital Humanities Based on Collaborative Intelligence

[目的/意义]知识图谱对于重构数字人文资源、促进资源共享重用和深度开发具有重要意义。通过协作智能充分结合人类智慧和机器智能,有助于实现高效、优质的知识图谱构建。[方法/过程]提出基于协作智能构建数字人文领域知识图谱的PDC工作模式,结合数字人文领域知识图谱构建中的核心任务,分析人与AI的分工与协作,并总结在这一过程中协作智能逐渐由人类主导转向AI主导的趋势。[结果/结论]进一步展示基于协作智能的家谱知识图谱构建的可行性和有效性,重点探索家谱知识抽取中的协作智能,并通过定性和定量的评价展示协作智能的优势。协作智能不仅是未来数字人文知识图谱构建的发展趋势,对于其他领域的数字资源组织和知识图谱构建的实践亦具有一定的参考价值。

[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.