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New Technology of Library and Information Service  2016, Vol. 32 Issue (11): 94-100    DOI: 10.11925/infotech.1003-3513.2016.11.11
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Semantic Retrieval for Mongolian Music: An Explorative Study
Bao Yulai1,2(),Bi Qiang2
1Inner Mongolia University Library, Hohhot 010021, China
2School of Management, Jilin University, Changchun 130022, China
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Abstract  

[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.

Key wordsMongolian Domain Ontology      Semantic reasoning      Semantic retrieval     
Received: 27 June 2016      Published: 20 December 2016

Cite this article:

Bao Yulai,Bi Qiang. Semantic Retrieval for Mongolian Music: An Explorative Study. New Technology of Library and Information Service, 2016, 32(11): 94-100.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2016.11.11     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2016/V32/I11/94

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