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PeerLearning: A Content-Based e-Learning Material Sharing System Based on P2P Network

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Abstract

Managing and retrieving reusable learning materials in a content-based way is a big challenge in e-Learning material sharing systems. E-Learning materials are highly heterogeneous; they may exist in the form of video, audio, image, slide or plain text. Furthermore, the learning systems are highly dynamic in the presence of massively increasing multimedia materials. P2P network seems to be one of the most promising infrastructures to deal with the challenge in such highly dynamic environments. In this paper we propose a Peer-to-Peer (P2P) infrastructure based on the trie tree and the deBruijn structure. It can support efficiently query processing in highly dynamic scenarios. Furthermore we develop a P2P e-Learning system PeerLearning to provide two content-based learning material sharing services: a keyword search component for supporting content-based document sharing and a content-based retrieval method for multimedia materials. Extensive experiments are conducted in this study to verify the superiority of our methods over the existing works.

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Authors and Affiliations

  1. Key Laboratory of Medical Image Computing (NEU), Ministry of Education, Shenyang, 110004, China

    Guoren Wang, Ye Yuan, Yongjiao Sun & Junchang Xin

  2. School of Information Science and Engineering, Northeastern University, Shenyang, 110004, China

    Guoren Wang, Ye Yuan, Yongjiao Sun, Junchang Xin & Ying Zhang

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  1. Guoren Wang
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  2. Ye Yuan
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  3. Yongjiao Sun
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  4. Junchang Xin
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  5. Ying Zhang
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Correspondence to Guoren Wang.

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Wang, G., Yuan, Y., Sun, Y. et al. PeerLearning: A Content-Based e-Learning Material Sharing System Based on P2P Network. World Wide Web 13, 275–305 (2010). https://doi.org/10.1007/s11280-010-0086-0

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