摘要
[目的/意义]历史典籍是中华文明的重要组成部分,是极具传承价值和研究价值的文化瑰宝,得到了学者们的广泛关注。然而,历史典籍的数智化开发受到多源异构、内容繁芜等条件的制约,因此学者们引入了厚数据分析模式。[方法/过程]本研究从厚数据视角出发,以循证理论为理论支撑,提出厚数据驱动的清代刑案融合图谱构建框架,并对其实现机理以及实现路径进行简要阐述,最后以清代户部刑案数据为例,验证提出的清代刑案融合图谱的有效性和可行性。[结果/结论]本研究立足于厚数据分析视角,以循证理论为纽带,对厚数据驱动的清代刑案融合图谱进行探索性分析,以期增加清代刑案的可读性和可信度,优化清代刑案的开发模式,探索不同类型可视化图谱的融合路径,助力历史典籍的知识构建和知识服务。
[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 content.Therefore,scholars have introduced a thick data analysis model.[Method/Process]This study started from the perspective 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 perspective 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 visualization graphs,and assist in the knowledge construction and service of historical classics.
作者
杨芳芳
宋雪雁
赵雅欣
Yang Fangfang;Song Xueyan;Zhao Yaxin(School of Business and Management,Jilin University,Changchun 130012,China)
出处
《现代情报》
北大核心
2025年第3期166-177,共12页
Journal of Modern Information
基金
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)。
关键词
厚数据
清代刑案
历史典籍
融合图谱
循证理论
thick data
criminal cases of the Qing dynasty
historical classics
fusion graph
evidence-based theory
作者简介
杨芳芳(1997-),女,博士研究生,研究方向:用户信息行为、知识组织与知识服务;赵雅欣(1999-),女,硕士研究生,研究方向:档案文献多模态研究;通信作者:宋雪雁(1980-),女,教授,博士生导师,研究方向:数字信息资源管理,数字人文、知识组织与知识服务、档案资源开发、用户信息行为、数据挖掘。