数字人文研究 ›› 2023, Vol. 3 ›› Issue (2): 31-38.

• 攻玉以石 • 上一篇    下一篇

数字人文时代古典文学文献辑佚路径的实验与思考

  

  • 出版日期:2023-08-17 发布日期:2023-08-17
  • 基金资助:
    本文系国家社会科学基金重大项目“ 基于大数据技术的古代文学经典文本分析与研究”(18ZDA238)和国家社会科学基金重大项目“徽人别集整理、研究与数据库建设”(20&ZD274)成果。

Reflection on the Method of Gathering of Scattered Literature in the Digital Humanity Era

  • Online:2023-08-17 Published:2023-08-17

摘要:

数字人文时代的古典文学文献辑佚对学者提出了两方面的要求。一是要延续传统辑佚学、目录学和版本学的经验,主动对接数字人文领域最新技术方法。在辑佚准备阶段,应结合目录学传统经验明确文献范围;在深挖拓展阶段,应利用GIS 和社会网络分析等数字人文手段获取更多线索;在录入校勘阶段,应长期关注辑佚对象,反复利用最新数据库和资料开展续辑和校勘;在辨伪定本阶段,应灵活运用传统知人论世法与数字化考据方法。二是要灵活运用各种数据库与工具。针对检索型数据库,需要预先设置关键词,并结合辑佚所得随时增补调整。在现有检索型数据库中,地方志数据库的辑佚潜力最大,值得加强利用;针对尚未全文化的影像型数据库,可自行编制专题性索引或建设题录数据库,从而为辑佚工作建立新的增长点。此外,一些习见常用的其他领域数据库如知网、读秀等,有时也能为辑佚工作提供意想不到的帮助。

关键词: 数字人文, 辑佚学, GIS, 社会网络分析, 数据库

Abstract:

In the era of digital humanities, the work of gathering scattered literature puts forward two requirements for scholars. First, we should continue the experience of Gathering of Scattered Writings, Bibliography and Textualcriticism, and actively connect with the latest technology in the field of digital humanities. In the preliminary preparation stage, the scope of literature should be defined in combination with the traditional experience of bibliography. At the stage of deep excavation and expansion, digital humanistic means such as GIS and Social Network Analysis should be used to assist in our work. In the stage of editing and proofreading, we should pay close attention to the objects for a long time, and repeatedly use the latest data and databases to carry out the continuation and proofreading. In the stage of counterfeit identification, we should flexibly use the traditional life textual research method and the digital textual research method. The second requirement is to use various databases and tools flexibly. For searchable databases, keywords need to be set in advance and supplemented and adjusted at any time based on the collected data. Among the existing search-type databases, the local chronicles database has the greatest potential for our work and is worth strengthening. For the image database that cannot be full-text retrieved, we can compile a thematic index or build a title database by self, so as to establish a new growth point for our work. In addition, some commonly used databases in other fields, such as CNKI and DUXIU, can sometimes provide unexpected help for our work too.


Key words: digital humanities, the study of the gathering of scattered writings, GIS; social network analysis, database

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