Libraly Journal

Libraly Journal ›› 2025, Vol. 44 ›› Issue (408): 70-83.

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Starry Sky Memory: A Framework for Constructing Smart Data from Ancient Chinese Celestial Phenomenon Records

Tang Zhengui1, Luo Jinkun2, Hu Rong3 (1 School of Journalism and Cultural Communication, Guangxi University of Finance and Economics; 2 New Engineering Industry College, Putian University; 3 College of Teacher Education, Southwest University)   

  • Online:2025-04-15 Published:2025-04-24
  • About author:Tang Zhengui1, Luo Jinkun2, Hu Rong3 (1 School of Journalism and Cultural Communication, Guangxi University of Finance and Economics; 2 New Engineering Industry College, Putian University; 3 College of Teacher Education, Southwest University)

Abstract:

The study explores the integration of the new generation of AI technology to develop a smart data construction framework for ancient Chinese celestial phenomenon records. It aims to enhance the data format of these records, thereby enabling richer digital and intelligent applications while uncovering their modern value as a globally unique astronomical resource and a precious aspect of traditional Chinese cultural heritage. Guided by the framework for the intelligent preservation of ancient book resources, the study incorporates knowledge graph and large language model technology to construct the HDAA-SD (Historical Data Annotation and Application-Smart Data) framework. The framework covers five core layers: the historical data layer, annotation layer, association layer, fusion layer, and application layer. Celestial phenomenon records, along with related academic literature, are selected to test the construction and practical application of smart data using the HDAA-SD framework. The research shows that the HDAA-SD framework can help upgrade ancient celestial phenomenon records to smart data, supporting their integration into intelligent digital environments. The framework also provides a reference for the intelligent digitization and application of ancient scientific and technological documents.