Volume 6, Issue 5, September 2017, Pages: 152-158
Received: Oct. 23, 2017;
Published: Oct. 27, 2017
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Jingfeng Shao, School of Management, Xi’an Polytechnic University, Xi’an, China
Xiaoyu Yang, School of Management, Xi’an Polytechnic University, Xi’an, China
Chuangtao Ma, School of Management, Xi’an Polytechnic University, Xi’an, China
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.
A Fuzzy Ontology Framework Based on User Profile, Education Journal.
Vol. 6, No. 5,
2017, pp. 152-158.
Gruber T. Translation Approach to Portable ontology Specifications, Knowledge Acquisition 1993, (5):199-220.
Borst W N. Construction of Engineering Ontologies for Knowledge Sharing and Reuse [D]. Ph.D. Thesis, University of Twente, Enschede, 1997.
Kang X P, Li D Y, Wang S G, et al. Formal Concept Analysis Based on Fuzzy Granularity base for Different Granulations [J]. Fuzzy Sets and Systems, 2012, (30):120-125.
Atanassov K. Remarks on the Intuitionistic Fuzzy Sets III [J]. Fuzzy Sets and Systems, 1995, 75 (3):401-402.
Jiang Y C, Tang Y, Wang J, et al. Representation and Reasoning of Context-dependant Knowledge in Distributed Fuzzy Ontologies [J]. Expert Systems with Applications, 2010, (37):6052-6060.
Wille R. Restructuring Lattice Theory: An Approach Based on Hierarchies of Concepts [M]. Rival I, ed. Ordered Sets. Dordrecht: Reidel, 1982: 445-470.
Formica A. Semantic Web search based on rough sets and Fuzzy Formal Concept Analysis [J]. Knowledge-Based Systems, 2012, (26):40-47.
Hu J H, Liu F X, Gu G D. Simitude degree and comparability direction of intuitionistic fuzzy singular rough sets [J]. International Conference on Computational and Information sciences, 2013, 53:2011-2014.
Su Y R, Xue C B. Explore the development and practical application of English teaching [J]. International Journal of Technology Management, 2014, (3):1-3.
Arinto P B. Issues and challenges in open and distance e-learning: perspectives from the Philippines [J]. Intemational Review of Research in Open and Distributed Learning, 2016, 17(2):23-27.
Microsoft. Microsoft Holo Lens [EB/OL]. https://www.microsoft.com/microsoft-hololens/en-u.s. 2017-02-10.
Zhao K, Chan C K K. Fostering collective and individual learning through knowledge building [J]. International Journal of Computer-supported Collaborative Learning, 2014, 9(1):63-95.
Makokha G L, Mutisya D N. Status of e-learning in public universities in Kenya [J]. International Review of Research in Open and Distributed Learning, 2016, 17(3):40-48.
Betty M R. Using a social networking tool for blended learning in staff training: sharing experience from practice [J]. Journal of Neonatal Nursing, 2014, 20:90-94.
Anaya A R, Luque M, Garcia-Saiz T. Recommender system in collaborative learning Environment an Influence Diagram [J]. Expert Systems with Applications, 2013, 40:7193-7202.
Simon R J M, Mucklow J. E-learning initiatives to support pre-scribing [J]. British Journal of Clinical Pharmacology, 2012, 74 (4):621-631.
Ana I, Molina M A. Redondo C L, et al. Assessing the effectiveness of new devices for accessing learning materials: An empirical analysis based on eye tracking and learner subjective perception [J]. Computers in Human Behavior, 2014, (31):475-490.
Soussan D, Marisa S, Tom T. Generation Y, web design and eye tracking [J]. International Journal of Human-Computer Studies, 2014, (5):307-323.