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New Technology of Library and Information Service  2011, Vol. 27 Issue (9): 14-20    DOI: 10.11925/infotech.1003-3513.2011.09.03
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Study on Community-based Information Retrieval in P2P Networks
Yang Meijiao, Dou Yongxiang
School of Economics and Management, Xidian University, Xi’an 710071, China
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Abstract  The foundation and framework of the community in P2P network is studied, and a community information retrieval system is proposed based on the feature of community. Then, the workflow of community-based information search in P2P is analyzed, and the major issues such as the selection of objective communities, the decision-making of neighbor peers,the realization of cross-community retrieval, and the maintenance of peers, are also discussed in detail. Finally, the future work is considered.
Key wordsCommunity      P2P      Information retrieval     
Received: 16 June 2011      Published: 02 December 2011



Cite this article:

Yang Meijiao, Dou Yongxiang. Study on Community-based Information Retrieval in P2P Networks. New Technology of Library and Information Service, 2011, 27(9): 14-20.

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[1] Community[EB/OL]. [2010-10-10].

[2] 陈海强,程学旗,刘悦.基于用户兴趣的寻找虚拟社区的核心成员的方法[J].中文信息学报,2009,23(2): 89-94,122.

[3] Lee F S L, Vogel D, Limayem M. Virtual Community Informatics: What We Know and What We Need to Know[C].In: Proceedings of the 35th Annual Hawaii International Conference on System Sciences.2002:2863-2872.

[4] Gnasa M, Alda S, Grigull J, et al. Towards Virtual Knowledge Communities in Peer-to-Peer Networks[C].In: Proceedings of the SIGIR 2003 Workshop on Distributed Information Retrieval. Berlin: Springer-Verlag,2003:143-155.

[5] 肖卫东,唐九阳,汤大权,等.基于社会学原理的P2P网络模型REC[J].计算机科学,2007, 34(6):38-40,67.

[6] Mei H,Chang S.PP-COSE:A P2P Community Search Scheme[C].In: Proceedings of the 2004 International Conference on Computer and Information Technology.2004:416-423.

[7] Xue F,Feng G, Zhang Y.CommuSearch: Small-world Based Semantic Search Architecture in P2P Networks[C].In: Proceedings of 2010 IEEE Global Communications Conference.USA:IEEE,2010:1-5.

[8] 张亮, 邹福泰, 张文举,等. 基于社区的对等网络信息检索[J].上海交通大学学报, 2006, 40(5):767-770.

[9] 窦永香,赵捧未.基于社区的对等网语义检索系统模型研究[J].情报学报,2010,29(3):393-401.

[10] Mine T, Kogo A,Amamiya M. Agent Community Based Peer to Peer Information Retrieval[C].In: Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems. 2005: 62-73.

[11] Iamnitchi A, Ripeanu M, Foster I. Small-World File-Sharing Communities[C].In: Proceedings of the 23rd Annual Joint Conference of the IEEE Computer and Communications Societies(INFOCOM 2004).China:Institute of Electrical and Electronics Engineers Inc,2004,2:952-963.

[12] Ramaswamy L, Gedik B, Liu L. A Distributed Approach to Node Clustering in Decentralized Peer-to-Peer Networks[J]. IEEE Transactions on Parallel and Distributed Systems, 2005, 16(9): 814-829.

[13] 牛尔力,单明辉,陈君,等.P2P网络中的社区结构发现方法[J].计算机工程,2008,34(24):7-9.

[14] Chen H, Jin H. Identifying Community Structure in Semantic Peer-to-Peer Networks[C].In: Proceedings of the 2nd International Conference on Semantics,Knowledge and Grid. Washington, DC, USA: IEEE Computer Society,2006.

[15] Khambatti M, Ryu K D, Dasgupta P. Efficient Discovery of Implicitly Formed Peer-to-Peer Communities[J].International Journal of Parallel and Distributed Systems and Networks, 2002, 5(4):155-164.

[16] Liu K, Bhaduri K, Das K, et al. Client-side Web Mining for Community Formation in Peer-to-Peer Environments[J].ACM SIGKDD Explorations Newsletter,2006,8(2):11-20.

[17] 窦永香,苏山佳,杨美姣,等.基于大众标注的P2P语义检索系统模型研究[J].现代图书情报技术,2010(2): 50-55.

[18] Wang Y, Vassileva J. Trust-based Community Formation in Peer-to-Peer File Sharing Networks[C].In: Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence.2004:341-348.

[19] 韩定一.对等网络的社区模型及其在搜索中的应用[D].上海:上海交通大学,2007.
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