基于学生知识点的知识推理方法
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摘要
针对传统的知识推理技术在学生学习方面研究的不足,知识图谱工具缺乏在学科知识点间复杂关系上的推理能力,基于学生知识点,提出了一种新的知识推理方法。通过学科涵盖知识点和知识点间的关系,构建知识点关联图,并结合学生的薄弱知识点,遍历知识点关联图,挖掘学生最底层的薄弱知识,生成待学习薄弱知识点序列,从而为学生提供学习路径。实验证明,该方法具有一定的可行性。
In view of the deficiency of traditional knowledge reasoning technology in students' learning and the lack of reasoning ability of knowledge map tools in the complex relationship between subject knowledge points, a new knowledge reasoning method based on student knowledge points is proposed. By covering the relationship between knowledge points and knowledge points, building the knowledge point association map, combining with students' weak knowledge points, traversing the knowledge point association map, mining students' weakest knowledge at the lowest level, generating the sequence of weak knowledge points to be learned, thus providing students with learning paths. Experiments show that the method is feasible.
In view of the deficiency of traditional knowledge reasoning technology in students' learning and the lack of reasoning ability of knowledge map tools in the complex relationship between subject knowledge points, a new knowledge reasoning method based on student knowledge points is proposed. By covering the relationship between knowledge points and knowledge points, building the knowledge point association map, combining with students' weak knowledge points, traversing the knowledge point association map, mining students' weakest knowledge at the lowest level, generating the sequence of weak knowledge points to be learned, thus providing students with learning paths. Experiments show that the method is feasible.
引文
[1]Tari L.Knowledge Inference[M].Berlin:Springer New York,2013:89.
[2]陆汝钤,应明生.知识推理的一个模型[J].中国科学:技术科学,1998(4):76-82.
[3]杨萌,张云中.知识地图、科学知识图谱和谷歌知识图谱的分歧和交互[J].情报理论与实践,2017(5):125-130.
[4]蒋加伏,陈蔼祥,唐贤英.基于知识推理的博弈树搜索算法[J].计算机工程与应用,2004,40(1):74-76.
[5]Li X,Wen Y,Lara-Rosano F.Dynamic Knowledge Inference and Learning under Adaptive Fuzzy Petri Net Framework[J].IEEE Transactions on Systems Man&Cybernetics Part C,2000,30(4):442-450.
[2]陆汝钤,应明生.知识推理的一个模型[J].中国科学:技术科学,1998(4):76-82.
[3]杨萌,张云中.知识地图、科学知识图谱和谷歌知识图谱的分歧和交互[J].情报理论与实践,2017(5):125-130.
[4]蒋加伏,陈蔼祥,唐贤英.基于知识推理的博弈树搜索算法[J].计算机工程与应用,2004,40(1):74-76.
[5]Li X,Wen Y,Lara-Rosano F.Dynamic Knowledge Inference and Learning under Adaptive Fuzzy Petri Net Framework[J].IEEE Transactions on Systems Man&Cybernetics Part C,2000,30(4):442-450.