基于知识树的知识表示模型设计  

Knowledge Tree-based Knowledge Representation Model Design

作　　者：程昌品[1] 陈强[1] CHENG Chang-Pin, CHEN Qiang （Department of Computer Science, Guangdong University of Education, Guangzhou 510303,China）

机构地区：[1]广东第二师范学院计算机科学系,广东广州510303

出　　处：《电脑知识与技术》2012年第12期8268-8271,共4页Computer Knowledge and Technology

基　　金：2012年省高等院校学科建设专项资金项目（编号：2012KJCX0079）; 2011年东莞市现代信息服务业发展专项资金竞争性项目（项目编号：DG201101）

摘　　要：知识库是智能化教学系统的核心,是实现个性化知识推荐的关键。为了提高个性化知识推荐教学系统的诊断和决策能力,设计了一个基于知识树的知识表示模型,支持有效地知识逻辑推理,实现教学内容的动态呈现与教学过程的智能导航,在此基础上提出了知识树过滤推荐算法,通过该智能导航算法仿真学生学习过程,实验结果表明,知识表示模型的设计能够更好地为学生提供个性化的学习参考需要,当知识点在没有任何学生学习的情况下也能够被过滤出来推荐给学生,验证了基于知识树的知识表示模型的有效性。The knowledge base is the core of intelligent teaching system, is to achieve the personalized knowledge recommenda- tion key.In order to improve the personalized knowledge recommendation teaching system diagnosis and decision-making abili- ty, a design based on the knowledge tree model of knowledge representation, knowledge reasoning support effectively, realize the teaching content and teaching process of dynamic presentation of intelligent navigation, is proposed based on the knowledge tree filtering algorithm, through the intelligent navigation algorithm simulation for students the learning process, the experimental re- suits show that, the design of knowledge representation model can better for the students to provide personalized learning refer- ence needs, when the knowledge points in the absence of any students learning situation can also be filtered out to students, is ver- ified based on the knowledge tree knowledge representation model validity.

关 键 词：知识树 知识表示模型 知识树过滤推荐算法 

分 类 号：TP18[自动化与计算机技术—控制科学与工程;自动化与计算机技术—控制理论与控制工程]