Abstract
While the number of MOOCs users in China has been increasing dramatically, the users still face the risk to give up learning in the half way due to unfamiliarity with the course structure, prerequisite courses and so on. To resolve this problem, the MKD plays an important role by providing a clear structure map of the course, helping user to realize about the appropriate learning path as well as the knowledge relationship. In this article, a method of constructing a usable MKD in Chinese has been raised based on online courses. The online course data are obtained by web crawling from the MOOCs sites, then processed through the data clean and data fusion after which the MKD is extracted and evaluated. This method is applied to all the existing MOOCs courses thus has showed practical significance.
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Acknowledgement
This work was supported by National Natural Science Foundation of China (Grant No. 61402020) and a grant from the Ph.D. Programs Foundation of Ministry of Education of China (No. 20130001120021). Thanks to Yipeng Liu, Na Li, Xiaoli He, Lu Liu, Yaoya Wang, Xiaozheng Zhang, Debin Zhang, Cong Sun, Yijun Wang, Tengyu Wang, Juan Gu, Meibing Sun and Zenghua Chen who have done a lot of work for the paper.
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Zhu, Z., Li, Y., Zhang, Y., Wu, Z. (2017). A Method of Constructing the Mapping Knowledge Domains in Chinese Based on the MOOCs. In: Bao, Z., Trajcevski, G., Chang, L., Hua, W. (eds) Database Systems for Advanced Applications. DASFAA 2017. Lecture Notes in Computer Science(), vol 10179. Springer, Cham. https://doi.org/10.1007/978-3-319-55705-2_33
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DOI: https://doi.org/10.1007/978-3-319-55705-2_33
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