| 注册
首页|期刊导航|现代情报|厚数据驱动的清代刑案融合图谱构建研究

厚数据驱动的清代刑案融合图谱构建研究

杨芳芳 宋雪雁 赵雅欣

现代情报2025,Vol.45Issue(3):166-177,12.
现代情报2025,Vol.45Issue(3):166-177,12.DOI:10.3969/j.issn.1008-0821.2025.03.014

厚数据驱动的清代刑案融合图谱构建研究

Research on the Construction of a Fusion Graph of Criminal Cases in the Qing Dynasty Driven by Thick Data

杨芳芳 1宋雪雁 1赵雅欣1

作者信息

  • 1. 吉林大学商学与管理学院,吉林 长春 130012
  • 折叠

摘要

Abstract

[Purpose/Significance]Historical classics are an important component of Chinese civilization,a cultural treasure with great inheritance and research value,and have received widespread attention from scholars.However,the digital development of historical classics is constrained by conditions such as multi-source heterogeneity and complex con-tent.Therefore,scholars have introduced a thick data analysis model.[Method/Process]This study started from the per-spective of thick data and used evidence-based theory as theoretical support to propose a framework for constructing a fusion graph of Qing Dynasty criminal cases driven by thick data.The implementation mechanism and path were briefly explained.Finally,taking Qing dynasty ministry of revenue criminal case data as an example,the effectiveness and feasibility of the proposed fusion graph of Qing dynasty criminal cases were verified.[Result/Conclusion]This study is based on the per-spective of thick data analysis and uses evidence-based theory as a link to explore the implementation of the fusion graph of Qing Dynasty criminal cases driven by thick data.It aims to increase the readability and credibility of Qing Dynasty criminal cases,optimize the development mode of Qing Dynasty criminal cases,explore the fusion path of different types of visual-ization graphs,and assist in the knowledge construction and service of historical classics.

关键词

厚数据/清代刑案/历史典籍/融合图谱/循证理论

Key words

thick data/criminal cases of the Qing dynasty/historical classics/fusion graph/evidence-based theory

分类

社会科学

引用本文复制引用

杨芳芳,宋雪雁,赵雅欣..厚数据驱动的清代刑案融合图谱构建研究[J].现代情报,2025,45(3):166-177,12.

基金项目

国家社会科学基金冷门绝学研究专项学术团队项目"本草典籍整理、知识组织与智慧化建设研究"(项目编号:23VJXT024). (项目编号:23VJXT024)

现代情报

OA北大核心

1008-0821

访问量0
|
下载量0
段落导航相关论文