基于本体的学习内容个性化推荐

语义Web提供了实现对Web异构信息源智能访问和处理的平台,同时也为E-Learning提供了动态异构的学习环境,但共享性和适应性差仍是当前E-Learning应用系统中存在的主要问题。那么如何从语义Web上分布的海量知识中按照用户的需求快速准确的定位目标知识已成为语义Web迫切需要解决的问题。针对此问题,提出了一些解决办法,通过这些方法能把建立良好个性化功能的适应性教育系统和分布的学习资源网络环境进行了有效的结合。

Ontology-based Personalized Recommendation in E-Learning

Semantic Web provides a platform which enables intellectual access to the disposal of heterogeneous information source, as well as the E-Learning approach to dynamic and heterogeneous . However, sharing and applicability are still the major problems in the application of E-Leaning system. It becomes the stringent issue that how to allocate the target knowledge quickly and accurately from the massive knowledge with accordance to the clients' requirement. Aiming at these issues, solutions are provided, with which it can be combined together with the personalized teaching system and distributed information resources Web condition.