图书情报工作 ›› 2020, Vol. 64 ›› Issue (17): 18-26.DOI: 10.13266/j.issn.0252-3116.2020.17.002

所属专题: 数字人文

• 专题:数字人文视角下历史档案资源知识聚合与知识发现研究 • 上一篇    下一篇

清代职官知识组织与关联分析——以《长春县志·长春职官考释表》为例

邓君, 钟楚依, 王阮, 宋雪雁, 刘沁淳   

  1. 吉林大学管理学院 长春 130022
  • 收稿日期:2020-03-23 修回日期:2020-05-30 出版日期:2020-09-05 发布日期:2020-09-05
  • 通讯作者: 钟楚依(ORCID:0000-0002-7871-9328),硕士研究生,通讯作者,E-mail:970207700@qq.com
  • 作者简介:邓君(ORCID:0000-0002-3291-7193),教授,博士生导师;王阮(ORCID:0000-0002-5445-4943),博士研究生;宋雪雁(ORCID:0000-0003-1955-6685),教授,博士生导师;刘沁淳(ORCID:0000-0002-7716-480X),本科生。
  • 基金资助:
    本文系国家社会科学基金项目"数字人文视角下历史档案资源知识聚合与知识发现研究"(项目编号:19BTQ102)研究成果之一。

Knowledge Organization and Relation Analysis of Officials in Qing Dynasty——Taking Changchun County Annals·Changchun Official Examination and Interpretation Form as An Example

Deng Jun, Zhong Chuyi, Wang Ruan, Song Xueyan, Liu Qinchun   

  1. School of Management, Jilin University, Changchun 130022
  • Received:2020-03-23 Revised:2020-05-30 Online:2020-09-05 Published:2020-09-05

摘要: [目的/意义] 借助数字人文的理念和方法,从知识视角深度开发我国职官领域相关资源,有助于辅助领域学者开展深层次的人文研究,同时也能丰富数字人文领域职官研究。[方法/过程] 在梳理清代职官知识体系结构和采集相关数字资源的基础上,构建清代职官领域本体模型,并以《长春县志·长春职官考释表》为例进行实例添加和可视化。[结果/结论] 实现职官知识单元语义层面上的细粒度描述和组织,揭示知识单元间多层次、多维度、多种类、复杂交错的动态关系。

关键词: 数字人文, 职官, 领域本体, 知识组织

Abstract: [Purpose/significance] With the help of the concept and method of digital humanities, the in-depth development of relevant resources in the field of professional officers in China from the perspective of knowledge will help scholars in the field to carry out in-depth humanities research and enrich the study of officials in the field of digital humanities.[Method/process] Based on sorting out the knowledge system structure of Qing Dynasty officials and collecting related digital resources, this paper built the ontology model of Qing Dynasty officials' domains, and took Changchun County Annals·Changchun Official Examination and Interpretation Form as an example to add and visualize.[Result/conclusion] This paper has achieved fine-grained description and organization on the semantic level of official knowledge units, and has revealed multi-level, multi-dimensional, multi-class, and complex interlaced dynamic relationships among knowledge units.

Key words: digital humanities, official, domain ontology, knowledge organization

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