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

Authors

Yucheng CHEN, 1.National Science Library, Chinese Academy of Sciences, Beijing 100190 2.Department of Information Resourses Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190
LI Yang, 1.National Science Library, Chinese Academy of Sciences, Beijing 100190 2.Department of Information Resourses Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190
Jiangfeng LIU, 1.School of Information Management, Nanjing University, Nanjing 210023 2.Laboratory of Data Intelligence and Cross Innovation, Nanjing University, Nanjing 210023
Fan YANG

Keywords

LLM; AIGC; intangible cultural heritage; knowledge graph

Abstract

[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.

First Page

115

Recommended Citation

CHEN, Yucheng; Yang, LI; LIU, Jiangfeng; and YANG, Fan (2024) "Research on the Construction of Knowledge Graph of Intangible Cultural Heritage from the Perspective of AIGC," Scientific Information Research: Vol. 6: Iss. 2, Article 10.
Available at: https://eng.kjqbyj.com/journal/vol6/iss2/10

Reference

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