Volume 9 Number 7 (Jul. 2014)
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JSW 2014 Vol.9(7): 1701-1706 ISSN: 1796-217X
doi: 10.4304/jsw.9.7.1701-1706

Research on Reasoning and Retrieval Methods Based on Mongolian Curriculum Areas of Semantic Web

Hongbo Chen, Yila Su, Chuan Fan
College of Information Engineering Inner Mongolia University of Technology Hohhot 010051, P.R.China

Abstract—The backwardness of the Mongolian network teaching resources results in its low reuse rates and utilization. For this situation, a retrieval method of semantic web based on Mongolian curriculum areas was set up. Firstly, the method established the Mongolian ontology of course ‘Artificial Intelligence' in area of teaching, it uses a relationship database MySQL to record ontology information, on the top of that, it uses semantic similarity calculation and reasoning rules established to do the semantic information reasoning, in the end, it builds a query and retrieval prototype system based on the field of Mongolian teaching. Experimental results show that this method can effectively improve the information retrieval recall and precision rates, and it established Mongolian teaching resources which can be shared and interoperable knowledge hierarchy.

Index Terms—Mongolian, semantic Web, ontology, reasoning, curriculum, information retrieval

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Cite: Hongbo Chen, Yila Su, Chuan Fan, "Research on Reasoning and Retrieval Methods Based on Mongolian Curriculum Areas of Semantic Web," Journal of Software vol. 9, no. 7, pp. 1701-1706, 2014.

General Information

ISSN: 1796-217X (Online)
Frequency: Monthly (2006-2019); Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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