虚拟学习社区中一种基于本体的学习资源推荐方法

虚拟学习社区中,由于大量知识点信息的存在,用户往往无法获得符合自己学习的资源.针对这个问题,提出了一种基于本体的学习资源推荐方法.该方法利用本体描述社区中的知识点体系,通过语义规则定义知识点之间的联系,结合语义推理,为用户产生学习资源的推荐.Demo系统结果表明,该方法可以有效的解决用户的学习困扰,指导用户进行学习.

Research on Optimal Learning Resources Based on Ontology in Virtual Learning Community

In virtual learning community, users are often confused with the problem of how to deal with the optimal learning resources due to massive knowledge information. To solve this problem, an approach for optimal learning resource recommendation based on ontology is proposed in this paper. By means of describing the knowledge architecture with ontology and identifying the relations between knowledge through semantic rules, an optimal learning resources for users is recommended combining with the semantic reasoning. The demo system shows that the proposed approach can settle users＇ learning confusion effectively and help users in their learning.