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Knowledge structure construction and skill reduction methods based on multi-scale context
Journal of Experimental & Theoretical Artificial Intelligence ( IF 2.2 ) Pub Date : 2023-02-28 , DOI: 10.1080/0952813x.2023.2183266
Yinfeng Zhou 1 , Jinjin Li 2, 3 , Hailong Yang 1 , Qingyuan Xu 4, 5 , Yueli Zhou 2
Affiliation  

ABSTRACT

The conjunctive model of skill map reflects a way to solve the items in a knowledge domain. Currently, a skill map has been transformed into a formal context to construct a knowledge structure. In fact, the conjunctive model of skill map can be regarded as a special case of skill function. In this paper, we consider a way to solve the items in a knowledge domain as a scale. As a result, a skill function can be decomposed into multiple formal contexts, which correspond to a multi-scale context. Based on this, a method for constructing a knowledge structure delineated via competency model by skill function is proposed. In addition, a method for finding minimal skill function is proposed to reduce the complexity. Last but not least, the experimental analysis of five data sets on the UCI Repository shows that the improved method of constructing knowledge structure is effective and feasible and that it is necessary to perform skill reduction on skill function.



中文翻译:

基于多尺度上下文的知识结构构建与技能约简方法

摘要

技能地图的连接模型反映了一种解决知识领域中项目的方法。目前,技能图谱已经转化为正式的语境来构建知识结构。事实上,技能图的连接模型可以看作是技能函数的一个特例。在本文中,我们考虑了一种解决知识领域中项目的方法。结果,技能功能可以分解为多个形式上下文,这些上下文对应于多尺度上下文。在此基础上,提出了一种通过技能函数构建胜任力模型刻画的知识结构的方法。此外,提出了一种寻找最小技能函数的方法来降低复杂度。最后但并非最不重要的,

更新日期:2023-03-01
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