Construction and application of knowledge graph in digital humanities: a case study of Qiaokan.

This study utilizes Knowledge Graph (KG) technology, taking Qiaoxiang Memory Heritage "Gu Zhai Yue Kan" and "Guang Yu Yue Bao" as examples, to analyze the contributions of overseas Chinese to the development of their hometown. By integrating multisource heterogeneous data, constructing datasets, and...

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Detalles Bibliográficos
Publicado en:Digital Scholarship in the Humanities Vol. 40; no. 3; pp. 1003 - 1021
Autores principales: Yang, Tian, Gao, Le, Huang, Zijie, Chen, Mengye, Cao, Boyu
Formato: Case Study
Publicado: Oxford University Press / USA Sep2025
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Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario:This study utilizes Knowledge Graph (KG) technology, taking Qiaoxiang Memory Heritage "Gu Zhai Yue Kan" and "Guang Yu Yue Bao" as examples, to analyze the contributions of overseas Chinese to the development of their hometown. By integrating multisource heterogeneous data, constructing datasets, and mining deep information, the practicality and efficiency of KG in managing Qiaoxiang Memory Heritage (Qiaokan) data are verified. KG not only provides data analysis capabilities but also offers precise data management tools for governments and research institutions through knowledge question answering and visualization technology. The research finds that overseas Chinese have made continuous investments in multiple fields, having a profound impact on their hometown's development. KG demonstrates applications in information querying, knowledge reasoning, and discovery, capable of rapidly capturing donations and changes. The conclusion points out that KG is a preferred method for analyzing donation information, though it has limitations such as a limited sample size. Future improvements are needed in areas like automatic entity extraction and multimodal data mining. This study provides a new pathway for the storage, management, and utilization of cultural data in Overseas Chinese hometowns and offers technical support and a knowledge framework for scientific research.