数字人文视域下古代诗人时空数据知识挖掘  

Knowledge Mining of Ancient Poets’Spatiotemporal Data from the Perspective of Digital Humanities

作　　者：孟繁爽 周树斌 李永卉 黄燕梅 MENG FanShuang;ZHOU Shubin;LI Yonghui;HUANG Yanmei(School of Information Management,Central China Normal University,Wuhan 430079;School of Law,Jiangsu University,Jiangsu 212013)

机构地区：[1]华中师范大学信息管理学院,武汉430079 [2]江苏大学法学院,江苏212013

出　　处：《山西档案》2024年第11期88-96,共9页Shanxi Archives

摘　　要：运用GIS技术分析诗人时空分布特征并展开知识挖掘,在有效践行构建中华文化共同体的基础上,可为学者研究对应历史时期的地域差异、文化交流和社会变革提供借鉴和参考。以古代诗人为研究对象,以其时空数据为研究内容,将传统人文研究思维与数字人文研究方法有机融合,从五个方面构建了古代诗人时空数据关联与挖掘框架,随后以唐宋时期诗人群体为实证案例,验证了该框架的合理性。在前人研究的基础上,细化了时空数据知识表示粒度,提升了时空数据展示的直观性与可解释性,为人文学者研究时空数据、朝代发展情况提供具有普适性、可迁移性的研究方式与研究思路。By using GIS technology to analyze the spatiotemporal distribution characteristics of poets and conducting knowledge mining,on the basis of effectively practicing the construction of a Chinese cultural community,it can provide reference and guidance for scholars to study regional differences,cultural exchanges,and social changes corresponding to historical periods.This article takes ancient poets as the research object and spatiotemporal data as the research content.It organically integrates traditional humanistic research thinking with digital humanistic research methods,and constructs a framework for the correlation and mining of spatiotemporal data of ancient poets from five aspects.Then,the feasibility and scientificity of the framework are verified by using the Tang and Song poetry group as an empirical case.Research has shown that the ancient poet spatiotemporal data knowledge mining framework proposed in this article is scientific and feasible.Based on previous research,it refines the granularity of spatiotemporal data knowledge representation,enhances the intuitiveness and interpretability of spatiotemporal data display,and provides a universal and transferable research method and approach for humanities scholars to study spatiotemporal data and the development of dynasties.

关 键 词：时空数据 知识挖掘 数字人文 古代诗人 唐朝诗人 宋朝诗人 苏轼 

分 类 号：G270[文化科学—档案学]