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在数据驱动的科研环境下,为服务于科研机构研究过程中知识资产长期保存管理的数字仓储领域,构建科研知识产出语义化关联组织的模型。总结数据驱动科研的知识对象类型、数据活动、科研活动,形成数据驱动的科学研究生命周期模型,并依据该模型和科研知识产出识别原则,分析科研过程各阶段场景中的关键科研知识产出类型和科研关系,然后设计有效组织科研知识产出、情境实体及其关系的数字对象模型框架,通过本体标准的复用,规范化类型名称和科研关系,构建关联组织科研知识产出和科研情境类的本体模型,为科研数字仓储构建揭示科研过程知识产出关联关系的语义层提供依据。
Under the environment of data-driven research, a model of semantic relational organization of scientific knowledge output was constructed to serve the digital warehousing in the long-term preservation and management of knowledge assets during the research of scientific research institutions. Summarize data-driven scientific research knowledge object types, data activities and research activities to form a data-driven scientific research life cycle model, and according to the model and principles of scientific knowledge output identification, analysis of key scientific research output in various stages of the scientific research process Type and research relationship, and then design a digital object model framework that effectively organizes the output of scientific research, situational entities and their relationships. Through standard ontology reuse, standardization of type names and research relations, Based ontology model to provide the basis for the construction of the digital warehouse to reveal the semantic layer that reveals the relationship between knowledge output and scientific research process.