人物事件导向的多模态档案资源知识聚合模式研究

Research on Multi-modal Archives Resources Knowledge Aggregation Model Based on Person Event

档案知识聚合作为档案领域构建多维度、跨媒体知识体系的新方法,为多模态名人档案资源的知识挖掘与利用提供了一个新的思路。通过分析名人档案资源特征,从总体方法论角度设计基于语义的档案知识聚合模式,模式设计整体分为资源采集模块、本体构建模块、关联聚合模块和知识服务模块四部分,从确定资源内容、本体模型构建到知识服务类型对如何实现底层多模态档案资源的知识性聚合展开方法过程探究。最后以吴宝康名人档案资源为例进行实证性研究,证明模式设计的科学性与实用性,进而为档案知识聚合研究提供一定的理论基础与发展路向。

Archival knowledge aggregation,as a new method of constructing a multi-dimensional and crossmedia knowledge system in the archives field,provides a new idea for the knowledge mining and utilization of multimodal celebrity archive resources.By analyzing the characteristics of celebrity archive resources,design a semanticbased archive knowledge aggregation model from the perspective of overall methodology.The overall model design is divided into four parts:resource collection module,semantic description module,association aggregation module and knowledge service module.Resource content,ontology model construction to knowledge service type to explore how to realize the knowledge aggregation of the underlying multi-modal archive data.Take Wu Baokang"s celebrity archive data as an example to conduct empirical research to prove the scientificity and practicability of the model design,and then provide a certain theoretical basis and development direction for archive knowledge aggregation research.