Research On Recommendation Of Learning Resources Based On Ontology

Currently, most online educational homework system lacks effective resource recommendation mechanism. The fact that learners cannot acquire the proper learning resources when they encounter problems in their homework will result in their decrease of efficiency and decline in interest, which will heavily affect the quality of online education.On the basis of relevant learning theories, this research adopts ontology-based knowledge retrieving and recommending technology, and brings forward ontology-based learning resource recommendation, in order to supply a gap in the insufficient recommending mechanism in online educational homework system and make a significant exploration in the application of ontology in online education. The details of the research are as follows:First, it analyse the relevant learning theories, knowledge organizing theories and semantic retrieving techniques. In view of the existing insufficiency in online educational homework system, it puts forward ontology-based learning resource recommendation.Second, it further studies ontology and semantic association, and it discusses in detail the arithmetic of ontology-based semantic association and its deficiency.Third, this research puts forward the triple dependency based on knowledge relevant facts. It colligates the distance, coincidence degree, level difference, weights between concepts and similarity of instances, and then advances arithmetic based on degree of concept association and contribution.Last, it addresses online educational homework learning resource recommendation pattern based on degree of concept association and contribution. It constructs prototype system and validates it in experiments.