介绍了E—Learning系统的若干关键技术,阐述了如何利用本体方法建立一种面向语义的非结构化教学资源的表示机制以及利用Jena推理机制进行非结构化教学信息的语义访问和个性化学习指导。在此基础上,实现了一个基于Ontology和Jena推理机制的个性化E—Learning系统模型,并对E—Learning系统未来的发展进行了展望.
This thesis analyses the problem of the resources heterogeneity and user needs personalization in E-leaning. It introduces OBPEL(Ontology-based Personal E-learning) system model and presents a mechanism of semantic expressing of heterogeneous teaching resources in order to establish the foundation for the reali zation of semantic access and personal application to the unstructured teaching information. Finally, an elementary OBPEL system model is realized.