知识组织

基于P2P的改进型图书馆语义检索模型研究

  • 黄婷
展开
  • 上海理工大学图书馆
黄婷,上海理工大学图书馆研究实习员,硕士,E-mail:huangtingusst@163.com.

收稿日期: 2014-09-03

  修回日期: 2014-10-22

  网络出版日期: 2014-11-20

Research on Semantic Retrieval Model for Improved Library Based on P2P

  • Huang Ting
Expand
  • University of Shanghai for Science and Technology Library, Shanghai 200093

Received date: 2014-09-03

  Revised date: 2014-10-22

  Online published: 2014-11-20

摘要

以P2P网络为基础,提出一种基于缓存的分布式语义检索模型.当网络中某一节点的剩余负载能力达到一个阈值时,它将成为中心节点,并与周围的普通节点共同构成一个拓扑域.中心节点收集域中各普通节点上的资源信息列表建立索引缓存,并将索引缓存分发到域中各普通节点.同时,中心节点会为域中的热点资源建立内容缓存,存储在本地.域中每个节点都存有检索资源的路径信息,中心节点存储着热点资源,利用这些已有信息辅助检索,可以有效提高检索的命中率,降低资源消耗.

本文引用格式

黄婷 . 基于P2P的改进型图书馆语义检索模型研究[J]. 图书情报工作, 2014 , 58(22) : 125 -129 . DOI: 10.13266/j.issn.0252-3116.2014.22.020

Abstract

This paper proposes a model of cache-based distributed semantic information retrieval system based on P2P network. When the residual load capacity of a node in the network reaches a threshold, it will become the center node and form a topology area with the nearby nodes together. The center node stores the resource information list of the local node to develop the index cache, and sends it to the nodes belonging to each topology area. At the same time, the overheating resources will be established content caching and copied to local by contents cache. Each node in this model entities path information for retrieval resources and the center node stores the popular resources, which can be used to significantly improve the ratio of retrieval and reduce resource consumption.

参考文献

[1] [EB/OL].[2014-08-08].http://en.wikipedia.org/wiki/Peer-to-peer.

[2] 马勇, 王松, 李玉卿,等. 基于P2P的语义检索系统设计[J]. 计算机工程与科学,2010, 32(1):141-145.

[3] Krishna P G, Stefan S, Steven G. A measurement study of Napster and Gnutella as examples of peer-to-peer file sharing systems[J]. ACM ,2002, 32(1): 81-82.

[4] Zuo Cuihua, Li Ruixuan, Lu Zhengding. Caching scheme based on power-law characteristic in unstructured P2P networks[J]. Journal of Southwest Jiaotong University, 2009,17(3):177-184.

[5] George F, Hardik S, Katy B. Unstructured peer-to-peer networks: Topological properties and search performance[J]. Computer Science ,2005,36(1): 14–27.

[6] Dimitrios T, Nick R. Analysis and comparison of P2P search methods[C]// Proceedings of the 1st International Conference on Scalable Information Systems. New York: ACM, 2006.

[7] 蔡明, 俞伟. 一种改进的Peer-to-Peer资源定位方法[J]. 微计算机信息,2006(9):108-109.

[8] Nabhendra B, Alhussein A. Optimizing random walk search algorithms in P2P networks[J]. Computer Networks, 2007,51(6): 1499-1514.

[9] Wang Jianyong, Li Yuling, Gong Futing, et al. A new strategy of resource searching in unstructured P2P network[C]// Communication Software and Networks. Second International Conference on Communication Software and Networks. Singapore:IEEE, 2010: 32-36.

[10] Zhang Pingjian, Li Sanqing. An active index caching search algorithm for unstructured P2P networks[C]// Networking and Digital Society. International Conference on Networking and Digital Society. Guiyang: IEEE, 2009: 238-241.

[11] Liu Yuhua, Wu Shishun, Xiong Naixue, et al. A cache-based search algorithm in unstructured P2P networks[J]. Journal of Intelligent Manufacturing,2012, 23(6):2101-2107.

[12] 赵捧未, 王亚楠, 赵飞. 对等网环境下的语义检索研究[J].情报杂志,2009, 28(6):159-163.

[13] Ramachandran G, Selvakumar K. Dynamic caching for semantic oriented adaptive search in unstructured P2P networks[J]. Asian Journal of Information Technology,2014, 13(3):138-149.

[14] Gao Guoqiang, Li Ruixuan, He Heng,et al. Distributed caching in unstructured peer-to-peer file sharing networks[J]. Computers and Electrical Engineering,2014, 40(2):688-703.

文章导航

/

〈 〉