面向科研档案管理的知识图谱构建与应用研究

Research on the Construction and Application of Knowledge Graph Oriented to Scientific Research Archives Management

在大数据时代和数据密集型科研范式下科研档案管理需要新方法和新手段。本文在梳理科研档案管理方式与技术现状的基础上开展面向科研档案管理的知识图谱构建。通过科研档案管理模式设计,将人员、机构、成果等实体与科研档案资源中研究任务、实施方案、考核指标、经费预算等知识单元在知识语义层面串联在一起,基于用户日志等数据分析科研档案管理者的行为特征,并进一步融合外部知识库,丰富和完善科研档案知识图谱,为科研档案资源精细加工、智能组织以及深度利用提供语义框架支持。在实践上基于科研档案管理知识图谱实现知识导航、智能搜索以及知识推荐等应用,支撑科研单位管理决策、科研档案智能管理。

In the era of big data and the paradigm of data-intensive scientific research,the management of scientific research archives requires new methods.Based on sorting out the management methods and technical status of scientific research files,this paper carries out the construction of knowledge graph for scientific research files management.Through the design of the scientific research archives management mode,personnel,institutions,achievements and other entities and the research tasks,implementation plans,assessment indicators,budgets and other knowledge units in the scientific research archives resources are connected in series at the semantic level of knowledge.The behavioral characteristics of archive managers,and further integration of external knowledge bases,enrich and improve the knowledge map of scientific research archives,and provide semantic framework support for the precise processing,intelligent organization and deep utilization of scientific research archive resources.In practice,the application of knowledge navigation,intelligent search,and knowledge recommendation based on the knowledge map of scientific research archives management has important practical significance to support scientific research unit management decision-making,intelligent management of scientific research archives,and in-depth development and utilization of archive resources.