图书情报工作 ›› 2023, Vol. 67 ›› Issue (2): 119-130.DOI: 10.13266/j.issn.0252-3116.2023.02.012

• 知识组织 • 上一篇    下一篇

《春秋左传正义》引书计算人文研究

孙燕, 刘浏, 王东波   

  1. 南京农业大学信息管理学院 南京 210095
  • 收稿日期:2022-07-06 修回日期:2022-09-26 出版日期:2023-02-09 发布日期:2023-02-09
  • 通讯作者: 刘浏,副教授,博士,通信作者,E-mail:liuliu@njau.edu.cn。
  • 作者简介:孙燕,硕士研究生;王东波,教授,博士。
  • 基金资助:
    本文系国家自科基金青年项目“基于深度学习的典籍引书知识图谱构建及应用研究”(项目编号:72004095)和国家社会科学基金重大项目“中国古代典籍跨语言知识库构建及应用研究”(项目编号:21&ZD331)研究成果之一。

A Computing Humanities Study on the Citation Books from Chun Qiu Zuo Zhuan Zheng Yi

Sun Yan, Liu Liu, Wang Dongbo   

  1. College of Information Management, Nanjing Agricultural University, Nanjing 210095
  • Received:2022-07-06 Revised:2022-09-26 Online:2023-02-09 Published:2023-02-09

摘要: [目的/意义] 古籍引书的计算人文研究视角将带来数字化资源、量化分析内容以及可视化呈现结果。[方法/过程] 以《春秋左传正义》中引书为对象,对其中引书进行标注、组织、计量、可视化及主题挖掘研究。[结果/结论] 通过古籍引书知识标注和补全,完成引书知识库的构建,以引书、篇章和作者为例进行计量分析,对结果进行可视化形式呈现,并尝试构建其知识图谱。此外,结合LDA主题模型,挖掘引书句子主题内容,得到生产生活、风俗礼仪、宗教祭祀、战争和政治5个主题类型,为古籍引书内容的深入探索提供技术借鉴和数据资源。

关键词: 计算人文, 数字人文, 古籍引书, 《春秋左传》, 知识标注

Abstract: [Purpose/Significance] Computing humanities of ancient classics citations will bring digital resources, quantitative analysis, and visual presentation results.[Method/Process] This paper took the citation books in Chun Qiu Zuo Zhuan Zheng Yi as the object, and studied the annotation, organization, measurement, visualization and theme mining of the citation books.[Result/Conclusion] Through knowledge annotation and completion of ancient book citations, the construction of knowledge base of citation books is completed. Taking citation books, chapters and authors as examples, quantitative analysis is carried out, the results are presented in visual form, and the attempt of knowledge graph construction is made. In addition, combined with the LDA model, this paper extracts the topic content of citation sentences, and obtains five theme types including life style, etiquette, religious, war and politics, which provide technical reference and data resources for in-depth exploration of the content of ancient book citations.

Key words: computing humanities, digital humanities, ancient book citaions, Chun Qiu Zuo Zhuan, knowledge annotation

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