The Construction of Knowledge Graph of Newspaper Distribution in Yan’an Period and Frontend Visualization
- DOI
- 10.2991/978-2-38476-092-3_95How to use a DOI?
- Keywords
- newspaper distribution; Neo4j knowledge graph; Visualization; Text data extraction; AI model training
- Abstract
In order to solve the problems of scattered data of CPC newspapers and periodicals in Yan’an period, weak data connection, linear text presentation hindering the use of literature, and low utilization rate of distribution data, this paper proposes a method to construct the knowledge graph of CPC newspapers and periodicals in Yan’an period. This method studies the key technologies such as information extraction, knowledge fusion, knowledge processing, and knowledge graph storage and construction in the process of knowledge graph construction. On the basis of the constructed knowledge graph, the front-end visualization system of the query, analysis and return results of the CPC newspapers and periodicals during the Yan’an period was realized. The constructed knowledge graph includes 15 ontologies, 27349 relationships, 4074 newspapers, and 10616 entities. This study provides new research perspectives and methods for the research of newspaper distribution, and implements a knowledge graph construction and front-end visualization system for newspaper distribution.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yifan Du PY - 2023 DA - 2023/09/09 TI - The Construction of Knowledge Graph of Newspaper Distribution in Yan’an Period and Frontend Visualization BT - Proceedings of the 2023 9th International Conference on Humanities and Social Science Research (ICHSSR 2023) PB - Atlantis Press SP - 776 EP - 789 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-092-3_95 DO - 10.2991/978-2-38476-092-3_95 ID - Du2023 ER -