Mongolian Disaster Information Retrieval Model Based on Ontology

The development of Mongolian language information is slow due to lack of electronic text data and massive difficulty of language analysis. In order to solve the problem mentioned above, a cross language retrieval model oriented to Mongolian natural disaster information was constructed by using Semantic Web ontology technology. Model test results show that this model can achieve a better cross language retrieval effect. At the same time, the cross language retrieval model proposed in this paper has a certain commonality, which can provide reference for similar applications.