Abstract: The current research results on the Mongolian semantic Web are all based on a stand-alone environment. When the semantic Web information retrieval system is put into actual operation, the stand-alone environment has problems such as limited storage capacity and slow multi-user concurrent query speed. To solve these problems, a distributed semantic Web retrieval method based on Mongolian news domain ontology is proposed. Based on the characteristics of the Mongolian news domain, the method firstly constructs the Mongolian news domain ontology with reference to the seven-step method and the skeleton method, and studies the hybrid semantic similarity algorithm suitable for the ontology for semantic expansion. Then, the ontology data and algorithms are deployed on the Hadoop distributed platform, which solves the problems of logical description, physical structure and parallel processing of large-scale ontology data storage, and realizes a distributed retrieval system based on the Mongolian news domain ontology. The experimental results show that the response time of query keywords is effectively reduced, and the recall rate and the precision rate of news retrieval are improved.

Key words: Mongolian semantic Web, news domain ontology, Hadoop, retrieval performance evaluation, query response time