[Objective] This paper aims to improve the retrieval performance of the booming Mongolian information resources with Ontology based semantic technology. [Methods] We designed a semantic retrieval system with the help of Mongolian music domain Ontology as well as the semantic analysis and inference engine Jena. [Results] Compared to the keyword matching retrieval systems, the recall and precision of the proposed system were significantly improved (95.6% and 93.2%, respectively). [Limitations] The experimental data only included the Mongolian multi-voice music. [Conclusions] The proposed semantic retrieval system lays theoretical and technological foundations for the research of Mongolian semantic Web applications.
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