Abstract
Yue opera, as one of the representatives of China’s intangible cultural heritage, embodies a profound regional history and folk art. This paper focuses on utilizing knowledge graphs to promote research and preservation efforts in the field of Yue Opera’s lineage. By mining the characteristics of the lineage domain, designing an ontology model, and employing ChatGPT for knowledge extraction, a knowledge graph specific to Yue Opera’s lineage is constructed to facilitate knowledge integration in the domain. Furthermore, this study also develops an application prototype named YueGraph (A video is shown in https://github.com/Ani-li/YueGraph/blob/main/demo.mp4) that explores the knowledge graph of the Yue Opera lineage through question-answering and visualization. YueGraph has been deployed at the Zhejiang Xiaobaihua Yue Opera Theatre to provide strong support for the preservation of the Yue Opera lineage.
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References
Tian, L., Zhang, J., Zhang, J.: A survey on knowledge graphs: representation, construction, reasoning, and hypergraph theory. J. Comput. Appl. 41(08), 2161–2186 (2021)
Xu, Z., Sheng, Y., He, L.: A comprehensive survey on knowledge graph technologies. J. Univ. Electron. Sci. Technol. China 45(04), 589–606 (2016)
Huang, H., Yu, J., Liao, X.: A comprehensive review of knowledge graph research. J. Comput. Syst. Appl. 28(06), 1–12 (2019)
Zhou, L., Hong, L., Gao, Z.: Construction of the Tang poetry knowledge graph and design of intelligent knowledge services. Libr. Inf. Serv. 63(02), 24–33 (2019)
Yang, H., Wang, J.: Construction and visualization of knowledge graph on academic lineages in the Song Dynasty. Data Anal. Knowl. Discov. 3(06), 109–116 (2019)
Carriero, V.A., Gangemi, A., Mancinelli, M.L.: ArCo: the Italian cultural heritage knowledge graph. In: Ghidini, C., et al. (eds.) The Semantic Web-ISWC 2019: 18th International Semantic Web Conference, Auckland, New Zealand, 26–30 October 2019, Proceedings, Part II 18, pp. 36–52. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-30796-7_3
ArCo [EB/OL]. http://wit.istc.cnr.it/arco/?lang=en
Encyclopedia of Yue Opera in China. Zhejiang Literature, Art, and Audiovisual Publishing House, Beijing (2006)
Liu, Y.S.: Research of approaches and development tools in constructing ontology. J. Mod. Inf. 29(9), 17–24 (2009)
OpenAI. Introducing ChatGPT. [EB/OL]. https://openai.com/blog/ChatGPT
Han, R., Peng, T., Yang, C.: Is information extraction solved by ChatGPT? An analysis of performance, evaluation criteria, robustness and errors. arXiv preprint arXiv:2305.14450 (2023)
Bao, T., Zhang, C.: ChatGPT’s Chinese information extraction capability evaluation: taking three typical extraction tasks as examples. In: Data Analysis and Knowledge Discovery, pp. 1–16 (2023)
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Yang, S. et al. (2024). YueGraph: A Prototype for Yue Opera Lineage Review Based on Knowledge Graph. In: Fang, L., Pei, J., Zhai, G., Wang, R. (eds) Artificial Intelligence. CICAI 2023. Lecture Notes in Computer Science(), vol 14474. Springer, Singapore. https://doi.org/10.1007/978-981-99-9119-8_39
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DOI: https://doi.org/10.1007/978-981-99-9119-8_39
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