为推动科研档案精细化管理与智能化服务,本文基于已有的档案本体系统和标准,继承利用EAD、DCMI、VIVO、SWRC、Schema.org等现有较为通用的本体,与科研档案为中心的知识单元进行集成、关联和融合,应用编辑工具Protégé、建模语言OWL建立了计算机可理解的科研档案知识图谱语义模型,丰富并规范了科研档案中蕴含知识单元及其语义关系,主要包括7个核心类、8个一级对象属性及21个数据属性,为科研档案的精细化加工、语义化描述组织与智能化应用服务等提供了基础。

In order to promote intelligent and fine management of scientific research archives, based on the existing archives ontology and standards, this paper inherits and utilizes EAD, DCMI, VIVO, SWRC, Schema.org and other existing common ontologies, integrates, correlates and merges with scientific research archives-centered knowledge units, initially constructs the knowledge graph model of scientific research archives, and enriches the semantic relationship of scientific research archives. Using the editing tool Protégé and modeling language OWL, a computer-understandable scientific research archive ontology is established, which mainly includes 7 core classes, 8 primary object attributes and 21data attributes, providing a basis for fine processing and intelligent query of scientific research archives.

G270.7

本研究得到公益性科研院所基本科研业务费项目“信息所科研档案知识管理调研与设计”（编号：JBYW-AII-2020-23）、中国农业科学院科技创新工程项目（编号：CAAS-ASTIP-2017-AII）重点任务“多源数据融合与知识组织增值”和国家科技图书文献中心专项“文献元数据集成加工管理系统”（编号：2018XM34）资助。