数据驱动下档案知识发现的路径研究

Research on the Path of Archives Knowledge Discovery Basedon Data Driven

数据驱动下的档案知识发现以大数据为驱动力,探索档案数据结构转变,利用数据可视化、建模、算法洞察理解档案信息资源,从档案领域中创新知识生产方式。文章立足数据背景明晰档案知识发现的概念涵义,以数据驱动为主轴解析档案知识发现的基本程式,从数据层、逻辑层、应用层、表示层构建档案知识发现的内容框架,具体阐述档案数据转型的递进过程,以数据思维、网络思维、用户思维探讨档案知识发现的实现路径,助益档案机构推动知识共享与服务。

Data-driven archival knowledge discovery exploits big data as the driving force,explores the transformation of archival data structure,and uses data visualization,modeling,and algorithm insight to understand archival information resources,and innovative knowledge production methods from the archives field.Based on the data background,the article clarifies the concept meaning of archive knowledge discovery,and uses data-driven as the main program to analyze the archive knowledge discovery.The content framework of archive knowledge discovery is constructed from data layer,logic layer,application layer and presentation layer,and the transformation of archive data is elaborated.The progressive process explores the realization path of archive knowledge discovery with the data thinking,network thinking and user thinking and helps the archives institutions to promote knowledge sharing and service.