面向知识服务的清代档案文献知识聚合

Knowledge Service-Oriented Aggregation of Archive Documents in the Qing Dynasty

传统档案文献的组织整理工作主要围绕基于元数据的人工标引和数据库建设展开,难以满足数字环境下智能化知识服务的迫切要求。以知识聚合为核心方法,充分结合人工智能、交互式可视化等技术,设计了一个面向知识服务的清代档案文献资源知识聚合的有效解决方案,包括“基于智能协同的语料著录标引”“多维度的语义聚合”和“基于交互式可视化的聚合服务”,并以《康熙朝实录》为聚合对象,结合几种重要的代表性清代档案文献和外部知识源进行了实证分析,为档案文献资源的知识组织与应用提供了一定的方法拓展与应用参考。

It is difficult to satisfy the urgent requirements of intelligent knowledge services in the digital environment when using the traditional way of archive document-oriented organization mainly based on the metadata-level manual annotation and database construction.This study proposed an effective solution for knowledge service-oriented aggregation of archival document resources in the Qing Dynasty using the approaches of knowledge aggregation,interactive visualization,and artificial intelligence.The whole solution includes the module of"corpus annotation based on intelligent collaboration",the module of"multi-dimensional semantic aggregation"and the module of"aggregative service based on the interactive visualization".To verify its effectiveness,the study takes the"Kangxi Shilu"as the aggregative object,and carried out a detailed empirical analysis by combining some crucial archive documents in the Qing Dynasty and external network resources in the field.It provides a certain methodological extension and reference for the knowledge organization and application of archive document resources.