[目的/意义] 借鉴叙词表和分类法构建思路，从本体的角度定义机构实体所具有的多维属性和关联关系，构建机构规范文档知识组织体系。[方法/过程] 深度分析中国科研机构名称、属性及关系，设计针对不同维度属性特征、多类型关联关系和层级结构的语义描述方法，支撑智能化机构规范系统建设。[结果/结论] 实现对国内核心机构特征的深度规范，并将规范数据嵌入到国家工程技术图书馆文献服务系统中，可支撑机构多层级规范名称的检索和多维特征揭示。
[Purpose/Significance] This paper designs institutional authority file knowledge organization systems and defines multidimensional attributes and relationships of institutional entities based on thesaurus, taxonomy and ontology ideas. [Method/Process] This paper analyzes various names, attributes and relationship features of Chinese scientific research institutions and proposes semantic description methods to support the construction of intelligent institutional normalization platform. [Result/Conclusion] This paper normalized characteristics of domestic core research institutions and embed the standard data into the National Engineering and Technology Digital Library(NETL), which can support multi-level institutional standard names retrieval and multi-dimensional features description.
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