农业图书情报学报 ›› 2022, Vol. 34 ›› Issue (4): 50-62.doi: 10.13998/j.cnki.issn1002-1248.21-0720

• 研究论文 • 上一篇    下一篇

融入知识元概念的近代报纸资源主题知识组织研究——以《盛京时报》为例

孙绍丹, 邓君*, 张子姝, 钟楚依, 盛盼盼   

  1. 吉林大学 管理学院,长春 130022
  • 收稿日期:2021-09-22 出版日期:2022-04-05 发布日期:2022-05-24
  • 通讯作者: *邓君,教授,博士生导师,吉林大学管理学院,研究方向为档案资源管理、数字人文、图书馆服务。Email:dengjun9722@163.com
  • 作者简介:孙绍丹,博士研究生,吉林大学管理学院,研究方向为数字人文、文本挖掘。张子姝,博士研究生,吉林大学管理学院,研究方向为档案管理、数字人文。钟楚依,硕士研究生,吉林大学管理学院,研究方向为数字人文、档案管理。盛盼盼,博士研究生,吉林大学管理学院,研究方向为数字人文、关联数据
  • 基金资助:
    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”(19BTQ102)

Topic Knowledge Organization of Modern Newspaper Resources by Incorporating the Knowledge Element Concept: Taking the "Shengjing Times" as an Example

SUN Shaodan, DENG Jun*, ZHANG Zishu, ZHONG Chuyi, SHENG Panpan   

  1. School of Management, Jilin University, Changchun 130022
  • Received:2021-09-22 Online:2022-04-05 Published:2022-05-24

摘要: [目的/意义]近代报纸资源主题模型构建是实现资源链式拓展、知识聚合和深层次组织开发的重要基础。[方法/过程]本文将知识元概念融入到主题图构建过程中,从形式特征和内容特征两方面提炼总结近代报纸资源属性并进行定义与描述,基于主题图技术抽取报纸资源主题类型,确定主题之间关系和资源指引,借助Ontopia主题图工具构建完整系统的近代报纸资源主题图,实现报纸资源的知识聚合,并以《盛京时报》为例构建主题图。[结果/结论]将知识元概念引入到近代报纸资源主题知识组织研究中,构建近代报纸资源主题图,有利于实现报纸资源的个性化导航和高效利用,为报纸资源的深度组织提供参考路径。

关键词: 主题图, 近代报纸资源, 知识组织, 知识元

Abstract: [Purpose/Significance] Modern newspapers, as valuable data for the research of modern Chinese history, have extremely high historical value and literature value. However, the knowledge correlation degree of modern newspaper resources is at a low level, displaying the resource "island" phenomenon, and it has not yet formed a complete knowledge system and structure, leading to the inability of users to quickly locate the target content during the retrieval, which results in the relatively low utilization rate of newspaper resources. Therefore, we use the topic map technology to organize the newspapers to achieve the resource chain expansion, knowledge aggregation and in-depth knowledge organization and development. [Method/Process] This paper incorporated the knowledge element concept into the construction of the topic map to extract and describe the attributes of modern newspaper resources in terms of the form and content characteristics. At the content level, the contents of the modern newspapers are divided into political theme, economic theme, military theme, social activities, poetry, and natural disaster, and we defined five categories of "knowledge element", namely person, institution, time, space, and office, in order to draw the "topic-knowledge element-resource" map of modern newspaper resources, which expresses the association between knowledge entities. Then, based on the technology of topic map, the topic types of newspaper resources were selected, the relationships between topics and occurrences were determined, and a complete topic map of newspaper resources was constructed with the Ontopia tool, so as to realize the knowledge aggregation of newspaper resources. We constructed the topic map with "Shengjing Times" as an example. [Results/Conclusions] The topic map has many advantages in the knowledge organization. For example, it is open in the topic types definition, free of standard constraints and more extended; its relationship expressions are more specific and practical to meet users' needs; it intuitively shows the knowledge structure of modern newspaper resources; it supports complex topic word semantic retrieval, and provides labels function to improve users' retrieval efficiency, which have an important practical application value for modern newspaper resources organization and navigation. Based on the topic map, we introduced the knowledge element concept into the modern newspaper resources organization, which is conducive to the personalized navigation and efficient utilization of newspaper resources, and provides a reference path for the in-depth organization of newspaper resources. In addition, due to the limited length, this paper only takes Shengjing Times as an example. In the workplace, there is far more than one topic map, so in the future work, we may consider merging multiple topic maps according to the practical needs.

Key words: topic map, modern newspaper resources, knowledge organization, knowledge element

中图分类号: 

  • G25

引用本文

孙绍丹, 邓君, 张子姝, 钟楚依, 盛盼盼. 融入知识元概念的近代报纸资源主题知识组织研究——以《盛京时报》为例[J]. 农业图书情报学报, 2022, 34(4): 50-62.

SUN Shaodan, DENG Jun, ZHANG Zishu, ZHONG Chuyi, SHENG Panpan. Topic Knowledge Organization of Modern Newspaper Resources by Incorporating the Knowledge Element Concept: Taking the "Shengjing Times" as an Example[J]. Journal of Library and Information Science in Agriculture, 2022, 34(4): 50-62.