Knowledge Annotation and Quantitative Analysis of Citations of the Three Commentaries on Records of the Grand Historian in the Perspective of Computational Humanities
This study aims to explore a new method for studying the Three Commentaries on Records of the Grand Historian from the perspective of computational humanities.Focusing on the phenomenon of citations in the Three Commentaries on Records of the Grand Historian,this study combined manual and deep learning methods from the perspective of digital humanities to organize the content and knowledge in the Three Commentaries on Records of the Grand Historian and constructed a knowledge base of ancient citations.By building a named entity recognition model based on deep learning,this study automatically proofread the manual annotation results.Combined with another round of manual proofreading and entity disambiguation,it constructed a knowledge base of citations in the Three Commentaries on Records of the Grand Historian to conduct a comprehensive statistical analysis.It started from two types of citations,namely,citing books and citing authors.With the five parts of the Records of the Grand Historian(Annals,Chronological Tables,Treatises,Hereditary Houses,and Biographies)as the types of classification,it carefully examined the frequency-type law of citations,especially the scattered-concentrated and dense-sparse distribution phenomena.It also used statistical data to construct a frequency-type box plot to examine the data anomalies and data skewness in the citations.The study further examined and compared the linear distribution law of citations.At the same time,examples were given to analyze high-frequency cited books and to explain the causes of statistical laws.In addition,with comparative study of the three commentaries,the above-mentioned citation phenomenon and distribution law were examined and analyzed in more detail.The research forms a complete set of technical processes and frameworks for the annotation of ancient book citations through annotation specifications,knowledge annotation,knowledge base construction,knowledge measurement and analysis.The knowledge base constructed has important resource value for the study of ancient book citations and the study of the Records of the Grand Historian.The exploration of ancient book citations using statistical measurement and visualization analysis methods provides a new idea for the traditional study of ancient book citations.The results of quantitative analysis are of reference value for the study of"Historical Records"and ancient book citations.It also has reference significance for the application of computational humanities perspective in the field of ancient Chinese classics.
Computational HumanitiesDigital HumanitiesAncient Book CitationsThree Commentaries on Records of the Grand HistorianTextual Knowledge Mining
万方数据
维普
