Research on Learning Resources Personalized Recommendation Based on Knowledge Topic Ontology
Xiao Jianqiong1
COMPUTER MODELLING & NEW TECHNOLOGIES 2014 18(12C) 1049-1055
1Experiment Center of China West Normal University, Nanchong, Sichuan Province, China
At present, the connection of network course learning resources are generally formed man-made hyperlinks, which can't reflect inner semantic association of resources. How to set up dynamically and mine various semantic association among network courses resources, it is an important issue to realize network course learning resources associated evolution. Ontology of semantic web is introduced into building model of knowledge, Knowledge ontology is used as the basis of knowledge description and expression in construction of network course learning resources, to establish dynamically and mine semantic association among learning resources and domain curriculum knowledge. The research designed a network courses learning sources personalized recommendation system based on knowledge topic ontology by using the processing of personalized recommendation. Experiments show that the system can recommend dynamically suitable learning sources to learners, promote preferably construction of curriculum knowledge, to realize active recommendation of personalized learning resources recommendation service.