计算机技术与发展2017，Vol.27Issue(7)：34-37,42,5.DOI:10.3969/j.issn.1673-629X.2017.07.008
基于知识地图拓扑的核心知识单元识别方法
An Identification Method of Core Knowledge Units with Topology of Knowledge Map
摘要
Abstract
The recognition of core knowledge units is helpful for guiding the learners' attention allocation,eliminating disorientation problem.Because these are long-distance dependences on cognition between knowledge units,it is difficult to identify the core knowledge units from a knowledge map by using the traditional centrality indexes,such as degree,closeness,betweenness and eigenvector.An identification method of core knowledge units based on knowledge may topology is proposed,which establishes six-dimensional feature vectors corresponding to knowledge units according to three characteristics like hierarchical distribution,out-degree distribution and Motif structure through the topological analysis of knowledge map.On the basis of six-dimensional feature vectors,the core knowledge unit identification is transformed into a binary classification problem,and a recognition method is implemented by using classification algorithm.With knowledge map dataset of eight courses,a comparative experiment has been conducted with four algorithms,including Support Vector Machine (SVM),Decision Tree (C4.5),Na(i)ve Bayes (NB) and Multi-Layer Perceptron (MLP) and its result demonstrates the effectiveness of the proposed method.关键词
知识地图/拓扑分析/知识单元/Motif/中心度Key words
knowledge map/topology analysis/knowledge unit/Motif/centrality分类
信息技术与安全科学引用本文复制引用
何绯娟,缪相林,许大炜..基于知识地图拓扑的核心知识单元识别方法[J].计算机技术与发展,2017,27(7):34-37,42,5.基金项目
教育部人文社会科学研究青年基金项目(15YJCZH057) （15YJCZH057）
陕西省社会科学基金项目(2016N005) （2016N005）
陕西省科学技术研究发展计划工业科技攻关项目(2015GY012) （2015GY012）
西安交通大学城市学院校级科研项目(2016KZ01,2015KZ09) （2016KZ01,2015KZ09）
