摘要
数字人文在古籍研究、古籍推广、古籍整理领域都有应用价值,但从结果来看,在古籍整理领域更具实用性和广泛性。与传统古籍整理范式相结合,数字人文在古籍整理领域的应用路径有二:一是传统古籍整理方法的数据化再现,包括实体保存性整理、文本复原性整理、内容组织性整理、语义阐释性整理等方法的数据化再现;二是传统古籍整理成果的数据化再利用,即运用信息技术对数字化形式的书目、注释、类书、辞书等古籍整理成果进行数据加工,发掘其潜在的学术价值。与数字环境下古籍整理新范式相结合,数字人文在古籍整理领域的第三条应用路径是对古籍原文蕴藏的知识进行数据化加工,表现为专题、专类、专书的古籍数据化整理,尤以时空数据的历史地理分析与可视化、人物数据的社会网络分析与可视化为特色。本文从以上三条路径对数字人文在古籍整理领域的研究进展作了学术史梳理,并探讨了每种路径的发展策略。图4。参考文献72。
Digital humanities have application value in the fields of ancient books research, promotion and collation. But from the results, it is more practical and extensive in the field of collating ancient books. Combining with the traditional paradigm, there are two application paths of digital humanities in the field of ancient books collation. The first one is the data-driven reproduction of methods for collating ancient books, including entity preservation, text restoration, content collation and semantic interpretation. The second is the data-driven reuse of the results in collating ancient books, which involves using information technology to process the data of digitized results in collating ancient books such as bibliographies, annotations, encyclopedias and dictionaries, and to explore their potential academic value. Combining with the new paradigm of collating ancient books in the digital environment, the third application path of digital humanities is the knowledge-based data organization, which is manifested in the digital collation of ancient books with special topics, special classes and special books, particularly characterized by the historical and geographical analysis and visualization of spatiotemporal data, as well as the social relationships and visualization of character data. This article provides an academic history review of the research progress of digital humanities in the field of collating ancient books from the above three paths. This paper finds that the data-driven reproduction of methods for collating ancient books shows obvious imbalance. Some of the studies have problems such as insufficient quantity, low degree of intelligence and low generalization ability. There are few types of the data-driven reuse of the results in collating ancient books. And the deeper academic function and utilization value of the research object are usually neglected. The knowledge-based data organization of ancient books' original text has not yet been correlated. On this basis, the paper explores the development strategies for each path. Firstly, the data-driven reproduction of methods for collating ancient books should strengthen the infrastructure construction of ancient book databases, and also comply with the academic paradigm of ancient books collation. Secondly, the data-driven reuse of the results in collating ancient books should expand the type of the research object, and determine the research direction according to the application value of the research object. Finally, the knowledge-based data organization should integrate resources, and use technical methods, such as ontology construction, semantic association and knowledge mapping, to construct the knowledge system of a certain type of ancient books, so as to complete the overall “puzzle” of the knowledge system of ancient China. 4 figs. 72 refs.
作者
李明杰
郑翔
关思雨
LI Mingjie;ZHENG Xiang;GUAN Siyu
出处
《中国图书馆学报》
CSSCI
北大核心
2024年第4期21-38,共18页
Journal of Library Science in China
关键词
古籍整理
古籍数字化
古籍数据化
数字人文
Ancient books collation
Digitization of ancient books
Datamation of ancient books
Digital humanities
