AIGC视角下非物质文化遗产知识图谱的构建研究

Research on the Construction of Knowledge Graph of Intangible Cultural Heritage from the Perspective of AIGC

[目的/意义]非遗是人类文明的重要组成部分,对于保护和弘扬民族精神,增强民族认同感和凝聚力具有重要意义。[方法/过程]文章探讨如何利用AIGC的优势,结合传统深度学习的方法,构建一个全面、高效的非遗知识图谱。[结果/结论]在非遗项目分类研究中,微调后的Baichuan-7B效果最佳,macro-F1值为0.7688,在非遗属性信息抽取中,RoBERTa的效果最好,F1值为0.7085。微调Baichuan-7B生成的结果,BLEU的2-Gram为0.2052。结合属性抽取和生成的结果,构建了高效全面的知识图谱。[创新/局限]文章利用生成式大模型辅助建立知识图谱,对国家级的非遗项目进行了研究,暂未对具有较高研究价值的省级项目进行研究。

[Purpose/significance]Intangible cultural heritage is an important component of human civilization,which is of great significance for protecting and promoting national spirit,enhancing national identity and cohesion.[Method/process]This paper explores how to utilize the advantages of AIGC,combined with traditional deep learning methods,then construct a comprehensive and efficient map of intangible cultural heritage knowledge.[Result/conclusion]In the classification study of intangible cultural heritage projects,the fine-tuned Baihuan-7B has the best effect,with an macro-F1 value of 0.7688.In the extraction of intangible cultural heritage attribute information,RoBERTa has the best effect,with an F1 value of 0.7085.The 2-Gram BLEU generated by fine-tuning Baihuan-7B is 0.2052.Combining the results of attribute extraction and generation,an efficient and comprehensive knowledge graph is constructed.[Innovation/limitation]This study uses a generative large model to assist in the establishment of knowledge graphs,focus on national-level intangible fruit projects,not induding provinciul-level projects with high reasearch value.