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A Fuzzy Ontology Framework Based on User Profile

Received: 23 October 2017     Published: 27 October 2017
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Abstract

Aimed at the problem of the classical ontology cannot represent the imprecision and uncertainty information, firstly, the ambiguity and uncertainty of fuzzy information was analyzed, and the fuzzy concept relationship was expressed by using fuzzy membership function. And then, the user interest estimation based on behavior was studied in term of user’s learning preferences, and user profile was described by the learning object, Furthermore, fuzzy ontology under different granularity was built, the fuzzy concept lattice was clustered, and the concept similarity of fuzzy formal concepts was calculated. Finally, a fuzzy ontology framework based on user profile was proposed. As verified by experiment, the results have shown that the framework can reduce efficiently the uncertainty information of fuzzy ontology, and enhance the precision of ontology.

Published in Education Journal (Volume 6, Issue 5)
DOI 10.11648/j.edu.20170605.12
Page(s) 152-158
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Ontology Framework, User Profile, Similarity Degree, Fuzzy Ontology

References
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  • APA Style

    Jingfeng Shao, Xiaoyu Yang, Chuangtao Ma. (2017). A Fuzzy Ontology Framework Based on User Profile. Education Journal, 6(5), 152-158. https://doi.org/10.11648/j.edu.20170605.12

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    ACS Style

    Jingfeng Shao; Xiaoyu Yang; Chuangtao Ma. A Fuzzy Ontology Framework Based on User Profile. Educ. J. 2017, 6(5), 152-158. doi: 10.11648/j.edu.20170605.12

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    AMA Style

    Jingfeng Shao, Xiaoyu Yang, Chuangtao Ma. A Fuzzy Ontology Framework Based on User Profile. Educ J. 2017;6(5):152-158. doi: 10.11648/j.edu.20170605.12

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  • @article{10.11648/j.edu.20170605.12,
      author = {Jingfeng Shao and Xiaoyu Yang and Chuangtao Ma},
      title = {A Fuzzy Ontology Framework Based on User Profile},
      journal = {Education Journal},
      volume = {6},
      number = {5},
      pages = {152-158},
      doi = {10.11648/j.edu.20170605.12},
      url = {https://doi.org/10.11648/j.edu.20170605.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.edu.20170605.12},
      abstract = {Aimed at the problem of the classical ontology cannot represent the imprecision and uncertainty information, firstly, the ambiguity and uncertainty of fuzzy information was analyzed, and the fuzzy concept relationship was expressed by using fuzzy membership function. And then, the user interest estimation based on behavior was studied in term of user’s learning preferences, and user profile was described by the learning object, Furthermore, fuzzy ontology under different granularity was built, the fuzzy concept lattice was clustered, and the concept similarity of fuzzy formal concepts was calculated. Finally, a fuzzy ontology framework based on user profile was proposed. As verified by experiment, the results have shown that the framework can reduce efficiently the uncertainty information of fuzzy ontology, and enhance the precision of ontology.},
     year = {2017}
    }
    

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  • TY  - JOUR
    T1  - A Fuzzy Ontology Framework Based on User Profile
    AU  - Jingfeng Shao
    AU  - Xiaoyu Yang
    AU  - Chuangtao Ma
    Y1  - 2017/10/27
    PY  - 2017
    N1  - https://doi.org/10.11648/j.edu.20170605.12
    DO  - 10.11648/j.edu.20170605.12
    T2  - Education Journal
    JF  - Education Journal
    JO  - Education Journal
    SP  - 152
    EP  - 158
    PB  - Science Publishing Group
    SN  - 2327-2619
    UR  - https://doi.org/10.11648/j.edu.20170605.12
    AB  - Aimed at the problem of the classical ontology cannot represent the imprecision and uncertainty information, firstly, the ambiguity and uncertainty of fuzzy information was analyzed, and the fuzzy concept relationship was expressed by using fuzzy membership function. And then, the user interest estimation based on behavior was studied in term of user’s learning preferences, and user profile was described by the learning object, Furthermore, fuzzy ontology under different granularity was built, the fuzzy concept lattice was clustered, and the concept similarity of fuzzy formal concepts was calculated. Finally, a fuzzy ontology framework based on user profile was proposed. As verified by experiment, the results have shown that the framework can reduce efficiently the uncertainty information of fuzzy ontology, and enhance the precision of ontology.
    VL  - 6
    IS  - 5
    ER  - 

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Author Information
  • School of Management, Xi’an Polytechnic University, Xi’an, China

  • School of Management, Xi’an Polytechnic University, Xi’an, China

  • School of Management, Xi’an Polytechnic University, Xi’an, China

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