%A Bao Yulai,Bi Qiang %T Semantic Retrieval for Mongolian Music: An Explorative Study %0 Journal Article %D 2016 %J Data Analysis and Knowledge Discovery %R 10.11925/infotech.1003-3513.2016.11.11 %P 94-100 %V 32 %N 11 %U {https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/abstract/article_4296.shtml} %8 2016-11-25 %X

[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.