Knowledge Flow-based Semantic Organization of Resources about Foreign Language Learning

نویسنده

  • Li Li
چکیده

With the advent of the big data age, more and more resources about foreign language learning are put on the Web and open to the public, which brings trouble on the foreign language learners in acquiring these unfamiliar learning resources effectively and efficiently. To solve the problem, this paper proposes a method of organizing the learning resources in the form of knowledge flow network and provides learners with learning resources in the form of knowledge flow. Compared with other semantic organizations of resources, the proposed knowledge flow-based organization of resources not only helps the learners obtain the target resources properly but also displays them the study route related to the target resources. Experimental results indicate that the proposed method can improve the utilization rate of learning resources and the efficiency of Foreign Language Learning. KeywordsForeign Language Learning; semantic organization; recommendation system; knowledge flow; knowledge mining; elearning.

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تاریخ انتشار 2016