基于Python语言的中国革命历史知识图谱数据预处理技术研究

Research on Data Preprocessing Technology of Chinese Revolutionary History Knowledge Graph Based on Python Language

中国革命历史数据蕴含丰富的历史信息和文化价值,充分利用这些数据对传承中华民族的优秀传统文化有重要意义。文章针对中国革命历史数据预处理的问题,阐述了基于Python语言的中国革命历史数据处理和分析的步骤和方法,介绍了中国革命历史数据从文字图片提取,到文字图片的储存处理,再到为数据中的人物和事件实体绑定链接的详细流程。此外,项目还取得了大量中国革命历史相关的文字数据,并进行了文本预处理和分析,成功地实现了对中国革命历史相关文本的知识图谱的构建。文章所提方法具有一定的实用性和优越性,对于推进中国革命历史的传承和发展具有一定的参考价值。

The historical data of the Chinese revolution contains rich historical information and cultural value,and fully utilizing these data is of great significance for inheriting the excellent traditional culture of the Chinese nation.This paper elaborates on the steps and methods of processing and analyzing Chinese revolutionary historical data based on Python language,focusing on the issue of preprocessing Chinese revolutionary historical data.It introduces the detailed process of Chinese revolutionary historical data from extracting text image,storing and processing text images,and then binding links for characters and event entities in the data.In addition,the project also obtained a large number of text data related to the history of the Chinese revolution,and carried out text preprocessing and analysis,successfully realizing the construction of the Knowledge Graph of the text related to the history of the Chinese revolution.The method proposed in the paper has certain practicality and superiority,and has certain reference value for promoting the inheritance and development of Chinese revolutionary history.