Volume 9 Number 7 (Jul. 2014)
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JSW 2014 Vol.9(7): 1701-1706
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.

Keywords

  • Mongolian
  • semantic Web
  • ontology
  • reaso
jsw0907-5

How to Cite

Copied

Hongbo Chen, Yila Su, and 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. https://doi.org/ 10.4304/jsw.9.7.1701-1706

Copyright & License

Copyright © 2014 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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General Information

  • ISSN: 1796-217X (Online)

  • Abbreviated Title: J. Softw.

  • Frequency:  Biannually

  • APC: 500USD

  • DOI: 10.17706/JSW

  • Editor-in-Chief: Prof. Antanas Verikas

  • Executive Editor: Ms. Cecilia Xie

  • Abstracting/ Indexing: DBLP, CNKI, 

  • Google Scholar, ProQuest,
           INSPEC(IET), ULRICH's Periodicals
           Directory, WorldCat, etc

  • E-mail: editor@jsoftware.us

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