Plant Knowledge Mining and Organization Construction in Pre-Qin Classics from the Perspective of Digital Humanities

Wu Mengcheng; Lin Litao; Qi Yue; Huang Shuiqing; Wang Dongbo; Liu Liu

doi:10.13266/j.issn.0252-3116.2023.12.010

Library and Information Service >

2023 , Vol. 67 >Issue 12: 103 - 113

DOI: https://doi.org/10.13266/j.issn.0252-3116.2023.12.010

KNOWLEDGE ORGANIZATION

Plant Knowledge Mining and Organization Construction in Pre-Qin Classics from the Perspective of Digital Humanities

Wu Mengcheng ,
Lin Litao ,
Qi Yue ,
Huang Shuiqing ,
Wang Dongbo ,
Liu Liu

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1 College of Information Management, Nanjing Agricultural University, Nanjing 210095;
2 Research Center for Humanities and Social Computing, Nanjing Agricultural University, Nanjing 210095;
3 Research Center for Correlation of Domain Knowledge, Nanjing Agricultural University, Nanjing 210095

Received date: 2022-12-07

Revised date: 2023-02-07

Online published: 2023-07-06

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Abstract

[Purpose/Significance] The knowledge mining of plants in pre-Qin classics and the construction of pre-Qin plant knowledge graph are of great significance for understanding the society and living conditions of ancient Chinese people. [Method/Process] This paper made a detailed labeling and quantitative analysis of plant words in pre-Qin classics. Based on CRF and a variety of deep learning models, an ancient Chinese plant named entity recognition model was constructed, and the performance of each model was compared and analyzed to determine the optimal model. A knowledge graph-oriented knowledge organization model of plants from classics was designed. [Result/Conclusion] The named entity recognition model for ancient Chinese plant based on the ancient Chinese pre-trained language model SikuRoBERTa achieved the best performance, and the harmonic average reached 85.44%, which provided an effective method for entity-based plant knowledge mining. The constructed knowledge graph for pre-Qin classics’ plant knowledge can aggregate and visually present plant entities and their related knowledge in the pre-Qin classics.

Key words： digital humanities; pre-Qin classics; plant named entity; deep learning; knowledge graph

Cite this article

Wu Mengcheng , Lin Litao , Qi Yue , Huang Shuiqing , Wang Dongbo , Liu Liu . Plant Knowledge Mining and Organization Construction in Pre-Qin Classics from the Perspective of Digital Humanities[J]. Library and Information Service, 2023 , 67(12) : 103 -113 . DOI: 10.13266/j.issn.0252-3116.2023.12.010

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