知识组织

基于档案文献的清代祭祀礼器知识图谱构建研究

  • 宋雪雁 ,
  • 张伟民 ,
  • 张祥青
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  • 吉林大学管理学院 长春 130022
宋雪雁,教授,博士生导师,E-mail:songxueyan@126.com;张伟民,博士研究生;张祥青,博士研究生。

收稿日期: 2021-07-07

  修回日期: 2021-09-09

  网络出版日期: 2022-02-16

基金资助

本文系国家社会科学基金项目“数据驱动的档案文献资源知识构建与知识服务研究”(项目编号:21BTQ109)研究成果之一。

Research on the Construction of Knowledge Graph of Sacrificial Vessels in Qing Dynasty Based on Archival Documents

  • Song Xueyan ,
  • Zhang Weimin ,
  • Zhang Xiangqing
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  • School of Management, Jilin University, Changchun 130022

Received date: 2021-07-07

  Revised date: 2021-09-09

  Online published: 2022-02-16

摘要

[目的/意义] 我国祭祀文化历史悠久,可追溯至先秦时代,祭祀礼器承担祭祀者的信仰,本研究基于《钦定大清会典图》和《皇朝礼器图式》构建清代祭祀礼器知识图谱,可以加快清代档案文献的数字化开发进程,解决清代祭祀相关档案文献分散、利用困难的局面。[方法/过程] 本研究采用知识图谱相关方法,通过知识建模构建清代祭祀礼器本体模型,利用知识获取整理并抽取《钦定大清会典图》与《皇朝礼器图式》中实体、属性、关系,将清代祭祀礼器知识以RDF三元组进行知识表示,对不同来源清代祭祀礼器知识进行知识融合,最后利用RDF数据模型存储清代祭祀礼器知识,构建清代祭祀礼器知识图谱,通过检索知识图谱进行知识发现。[结果/结论] 研究发现,知识图谱可视化可以清晰呈现清代祭祀礼器间的知识关联;利用SPARQL查询发现清代祭祀礼器颜色有特定含义,且这些颜色与祭祀地点存在间接联系。

本文引用格式

宋雪雁 , 张伟民 , 张祥青 . 基于档案文献的清代祭祀礼器知识图谱构建研究[J]. 图书情报工作, 2022 , 66(3) : 140 -151 . DOI: 10.13266/j.issn.0252-3116.2022.03.015

Abstract

[Purpose/significance] Chinese sacrificial culture has a long history, which can be traced back to the pre-Qin era, and sacrificial vessels are responsible for the beliefs of the sacrificial participants. Based on the Imperial Assembly Graph of Qing Dynasty and the Ritual Vessel Schema of the Imperial Dynasty, this paper builds a knowledge graph of sacrificial vessels of the Qing Dynasty which promotes the digital development process of archival documents in Qing Dynasty and solves the situation of dispersing and difficultly utilizing of archival documents related to sacrificing in the Qing Dynasty. [Method/process] In this paper, the knowledge graph related method was adopted to construct the ontology model of sacrificial vessels of the Qing Dynasty through knowledge modeling. The entities, attributes and relationships in the Imperial Assembly Graph of Qing Dynasty and the Ritual Vessel Schema of the Imperial Dynasty were sorted out and extracted by knowledge acquisition. RDF triples were used for knowledge representation of sacrificial vessel knowledge in Qing Dynasty and knowledge fusion of sacrificial vessel knowledge from different sources in Qing Dynasty was carried out. Finally, knowledge of sacrificial rituals in Qing Dynasty was stored by RDF data model, and the knowledge graph of Qing Dynasty sacrificial vessels was constructed and this paper discovered knowledge by retrieving the knowledge graph. [Result/conclusion] It is found that the knowledge association of sacrificial vessels in Qing Dynasty can be clearly presented through the visualization of knowledge graph. Query with SPARQL can find that the color of sacrificial vessels in Qing Dynasty had a specific meaning, which indirectly related to the sacrificial places.

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