学科知识结构揭示模型构建
发布时间：2019-04-20 15:16
【摘要】：[目的 /意义]为完善学科知识结构的揭示过程,将隐含的、抽象的学科知识结构具象化,形成较为严谨的方法规范和理论范式。[方法 /过程]对揭示学科知识结构所调用的相关理论、方法、技术等进行系统分析,将"三计学"理论(文献计量学、科学计量学和信息计量学)、社会网络分析方法、学科知识结构理论和知识图谱技术进行集成优化和协同整合。[结果 /结论]构建学科知识结构揭示模型,即以"三计学"模块为基础、社会网络分析模块为支撑、学科知识结构模块为牵引、知识图谱模块为输出、四大模块交叉融合的"233-1理论模型",为实证研究提供理论支撑,也为相关研究提供方法学参考和依据。
[Abstract]:[purpose / significance] in order to improve the process of revealing the discipline knowledge structure, the implicit and abstract discipline knowledge structure is embodied and a more rigorous method norm and theoretical paradigm is formed. [methods / processes] A systematic analysis of the theories, methods and techniques used to reveal the knowledge structure of the subject is carried out. The "three methods" theory (bibliometrics, scientific metrology and information metrology), social network analysis methods, and so on, are analyzed systematically. Subject knowledge structure theory and knowledge graph technology are integrated optimization and collaborative integration. [results / conclusion] the model of revealing the discipline knowledge structure is constructed, which is based on the "Sanji Science" module, supported by the social network analysis module, the discipline knowledge structure module as the traction, and the knowledge graph module as the output. The "233x1 theoretical model", which is the cross-fusion of the four modules, provides theoretical support for empirical research and provides methodological reference and basis for related research.
【作者单位】： 吉林大学公共卫生学院医学信息学系;
【基金】：国家自然科学基金项目“嵌入式知识服务驱动下的领域多维知识库构建”(项目编号:71573102)研究成果之一
【分类号】：G353.1
，
本文编号：2461717
[Abstract]:[purpose / significance] in order to improve the process of revealing the discipline knowledge structure, the implicit and abstract discipline knowledge structure is embodied and a more rigorous method norm and theoretical paradigm is formed. [methods / processes] A systematic analysis of the theories, methods and techniques used to reveal the knowledge structure of the subject is carried out. The "three methods" theory (bibliometrics, scientific metrology and information metrology), social network analysis methods, and so on, are analyzed systematically. Subject knowledge structure theory and knowledge graph technology are integrated optimization and collaborative integration. [results / conclusion] the model of revealing the discipline knowledge structure is constructed, which is based on the "Sanji Science" module, supported by the social network analysis module, the discipline knowledge structure module as the traction, and the knowledge graph module as the output. The "233x1 theoretical model", which is the cross-fusion of the four modules, provides theoretical support for empirical research and provides methodological reference and basis for related research.
【作者单位】： 吉林大学公共卫生学院医学信息学系;
【基金】：国家自然科学基金项目“嵌入式知识服务驱动下的领域多维知识库构建”(项目编号:71573102)研究成果之一
【分类号】：G353.1
，
本文编号：2461717
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