细粒度课程知识元组织模型及知识图谱实现  被引量:9

Fine-Grained Course Knowledge Meta-Organization Model and Knowledge Graph Implementation

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作  者:袁满[1] 仇婷婷 胡超 YUAN Man;QIU Tingting;HU Chao(School of Computer and Information Technology,Northeast Petroleum University,Daqing 163000,China)

机构地区:[1]东北石油大学计算机与信息技术学院

出  处:《吉林大学学报(信息科学版)》2019年第5期526-532,共7页Journal of Jilin University(Information Science Edition)

基  金:黑龙江省哲学社会科学规划研究基金资助项目(19EDE334);黑龙江省教育厅国基培育基金资助项目(2017PYYL-06);东北石油大学研究生创新科研基金资助项目(JYCX_CX07_2018_2)

摘  要:为解决目前数字网络课程知识碎片化、语义关系缺乏等问题,提出将知识的控制单位深入到知识元层面,结合CELTS标准构建细粒度课程知识元组织模型,再采用精细化加工理论对教学内容进行编排与设计。定义了知识元、知识链和知识单元之间的逻辑关系,构建了C语言课程知识图谱,通过Neo4j可视化知识元粒度以及知识元之间的关系。实践表明,知识元和知识图谱结合可有效表示知识之间的逻辑关系,提高知识之间的关联性。In order to solve the problems of fragmentation of knowledge and lack of semantic relationship in digital network courses, to deepen the control unit of knowledge to the level of knowledge element, the finegrained curriculum knowledge element organization model is constructed in combination with CELTS standard. And then use the theory of fine processing to arrange and design the teaching content, and define the logical relationship among knowledge element, knowledge chain and knowledge unit. The knowledge graph of C course is constructed to visualize the granularity of knowledge elements and the relationship between knowledge elements through Neo4j. Practice shows that the combination of knowledge elements and knowledge graph can effectively represent the logical relationship between knowledge and improve the correlation between knowledge.

关 键 词:知识组织 知识元粒度 知识链 知识图谱 CELTS标准 

分 类 号:TP391.1[自动化与计算机技术—计算机应用技术]

 

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