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作 者:李娜 LI Na(Faculty of Humanities and Social Sciences,Nanjing Forestry University,Nanjing 210037)
机构地区:[1]南京林业大学人文社会科学学院,江苏南京210037
出 处:《中国农史》2023年第2期41-51,共11页Agricultural History of China
基 金:国家社会科学基金重大项目“方志物产知识库构建及深度利用研究”(18ZDA327);江苏省社会学科基金“宋至民国时期大运河江苏段沿岸方志物产史料的整理与研究”(20LSC005)。
摘 要:物产包括自然产出的植物、动物、矿物和人工制造的货物,是人类赖以生存的物质基础,而人类则是生产、传播、保护和利用物产的主要力量。地方志作为中国特色典藏文献,系统而详细地记述了不同历史时期、不同地域的物产状况,其中蕴含着大量的物产与人物关系信息。作为具有个体互联关系挖掘功能的社会网络分析技术,为地方志文献中物与人之间关系网络构建研究提供了技术可能。本文在定性梳理地方志物产与人物关系的基础上,基于数字人文的研究范式,通过命名实体识别技术构建人名、物产名的智能识别模型,抽取文本中的人物信息以及物产与人物之间的关联关系,进而构建关系网络,从宏观、中观和微观的角度对方志类古籍中物与人的关系进行计量和可视化呈现,取得全新的有价值的发现,验证了从量化史学到数字人文在研究视角与方法方面的日渐成熟和独特魅力。Property,including naturally produced plants,animals,minerals and man-made goods,is the material basis on which human beings depend,and human beings are the main forces in the production,dissemination,protection and utilization of property.As a collection of documents with Chinese characteristics,local chronicles systematically and in detail record the property conditions of different historical periods and different regions,which contain a large amount of information on the relationship between property and characters.Social network analysis technology,with the function of individual interconnection relationship mining,provides a technical possibility for the construction of relationship network between property and characters in local history literature.On the basis of qualitatively sorting out the relationship between property and characters in the Local Chronicles,this paper constructs an intelligent recognition model of person's names and property names through naming entity recognition technology,extracts the character information in the text and the correlation relationship between property and characters,and then constructs a relationship network,and measures and visualizes the relationship between property and characters in ancient books in the Local Chronicles from the macro,mesoscopic and microscopic perspectives,and makes new valuable discoveries based on the research paradigm of digital humanities.It verifies the increasing maturity and unique charm of research perspectives and methods from quantitative historiography to digital humanities.
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