数字人文重构中国绘画史

Building Chinese Painting History with Digital Humanities

从近代梁启超首次提出“统计治史”到近年来数字人文研究的兴起,百年以来定量分析方法总能为史学研究提供一种独特的视角。自2014年开始,笔者团队以DIKW知识管理模型为基础,对中国历代画家信息进行了数字化与结构化处理,构建出一个包含约500万文字的结构化数据集,实现了历代画家信息从文本、编码到信息结构化的工作,形成了中国历代画家数据库平台。本文从画史中记载的师承、师法关系入手,尝试以学习关系统计、地理分布统计、社会网络分析与可视化、三度影响力理论等多学科交叉的方法,描绘出中国绘画史的另一种形状。

Quantitative analysis has always provided a unique perspective for historical research in the past hundred years from the proposal of"statistical historiography"by Liang Qichao in modern times to the rise of digital humanities research in recent years.Since 2014,the author and his team have digitized and structured the information of Chinese painters of various dynasties with the DIKW knowledge management model,and established a structured data set that contains over five million characters.This process involves text coding and information structuring,resulting in the Chinese Painters Database Platform.Based on the mas ter-apprentice relationship recorded in painting history,this article tries to demonstrate another form of Chinese painting history from various perspectives such as learning relationship statistics,geographical distribution statistics,social network analysis,visualization and three degrees of influence rule.