数字人文视域下口述历史档案资源知识发现模型构建

摘要

为切实推动口述历史档案资源深度开发,本文综合运用本体、知识图谱等技术方法,从数据资源层、知识组织层、知识关联层、知识发现层四个维度架构数字人文视域下口述历史档案资源知识发现模型,从理论建构和应用探索双重视角指导并推进与口述历史档案资源关联的人、地、时、事等内容特征及相互关系的可视化展示与挖掘,不仅为口述历史档案资源知识发现具体实施提供了可操作性框架参考,也有利于创新口述历史档案资源知识发现路径。

关键词：数字人文口述历史档案资源知识发现

Abstract

In order to effectively promote the in-depth development of oral history archives resources, this paper comprehensively uses ontology, knowledge mapping and other technical methods to construct the knowledge discovery model of oral history archives resources from the perspective of digital humanities from four dimensions: data resource, knowledge organization, knowledge association and knowledge discovery. Meanwhile, from the dual perspectives of theoretical construction and application exploration to guide and promote the visual display and mining of the content characteristics and relationships related to oral history archives resources, which not only provides an operable framework reference for the specific implementation of oral history archives resources knowledge discovery, but also helps to innovate the path of oral history archives resources knowledge discovery.

Key words: digital humanities; oral history archives resources; knowledge discovery

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