图书情报工作 ›› 2021, Vol. 65 ›› Issue (14): 90-100.DOI: 10.13266/j.issn.0252-3116.2021.14.011

• 情报研究 • 上一篇    下一篇

基于典籍文本的农作物时间分布及演化特征研究——以《食货志》为例

崔斌1,2, 王东波1,2, 黄水清1,2   

  1. 1 南京农业大学信息管理学院 南京 210095;
    2 南京农业大学人文与社会计算研究中心 南京 210095
  • 收稿日期:2020-12-10 修回日期:2021-04-17 出版日期:2021-07-20 发布日期:2021-07-21
  • 通讯作者: 黄水清(ORCID:0000-0002-1646-9300),教授,博士生导师,通讯作者,E-mail:sqhuang@njau.edu.cn。
  • 作者简介:崔斌(ORCID:0000-0002-6877-7030),博士研究生;王东波(ORCID:0000-0002-9894-9550),教授,博士生导师
  • 基金资助:
    本文系国家社会科学基金重大项目"基于《汉学引得丛刊》的典籍知识库构建及人文计算研究"(项目编号:15ZDB127)研究成果之一。

The Analysis of Time Distribution and Evolution Characteristics of Crops in Classics: Taking Shihuozhi as an Example

Cui Bin1,2, Wang Dongbo1,2, Huang Shuiqing1,2   

  1. 1 College of Information Management, Nanjing Agricultural University, Nanjing 210095;
    2 Research Center for Humanities and Social Computing, Nanjing Agricultural University, Nanjing 210095
  • Received:2020-12-10 Revised:2021-04-17 Online:2021-07-20 Published:2021-07-21

摘要: [目的/意义] 我国农作物种植历史悠久,分析古代农作物的时间分布与发展演化情况对优化现代农业种植结构具有重要意义。[方法/过程] 提出一套深入典籍文本内容的农作物时间分布及演化特征分析方法流程,主要包括语料获取与数字化、分词与实体关系抽取、时间分布特征分析、演化特征分析4部分,并选取15本史书中的《食货志》文本进行实证分析。[结果/结论] 基于《食货志》文本的分析结果得到历史学、经济学、文献学等多学科相关研究资料的佐证,验证了方法的可行性与有效性,可以为基于典籍文本的古代农作物时间分布及演化特征分析提供借鉴。但未来还需要在提高自动化水平、扩大研究样本、细化事件类型等方面进一步优化方法流程。

关键词: 实体关联, 数字人文, 食货志, 农作物, 可视化

Abstract: [Purpose/significance] There is a long history of crop cultivation in China. It is of great significance to analyze the time distribution and development evolution of ancient crops for optimizing the modern agricultural planting structure. [Method/process] This paper put forward a set of analytical process of crop time distribution and evolution characteristics, which included four parts: corpus acquisition and digitization, segmentation and entity relationship extraction, time distribution characteristics analysis and evolution characteristics analysis, and selected Shihuozhi from 15 historical books for empirical analysis. [Result/conclusion] Based on the analysis results of Shihuozhi, the feasibility and effectiveness of the method are verified by the relevant historical, economic, philological and other multidisciplinary research data, which can provide reference for the analysis of the time distribution and evolution characteristics of ancient crops based on classics. But in the future, we need to improve the level of automation, expand the research sample, refine the event type and other aspects to further optimize the method process.

Key words: entity association, digital humanities, Shihuozhi, crops, visualization

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