基于社区的对等网语义检索系统模型研究

Model of Community-Based Semantic Information Retrieval System in Peer-to-Peer Networks

随着Internet用户数量和检索频率的迅速增长,在对等网环境中如何提高信息检索的质量和效率受到越来越多的关注。基于共同的兴趣和需求,对等网中的节点用户很容易形成虚拟社区。当前的P2P检索系统大部分只支持简单的关键字查询功能,本文研究了非结构化对等网的社区形成和社区特点,借鉴利用本体进行信息集成的方法,设计了基于社区的对等网语义检索系统模型,包括七大模块：资源标注模块、提问处理模块、资源搜索模块、语义匹配模块、输出处理模块、用户评价模块和资源获取模块。详细分析了基于社区的资源管理机制和搜索策略,并进行了模拟实验。

t Along with the increasing number of Internet users and retrieval frequency,P2P network is attracting more and more attention in the world as a new application mode used to improve the quality and efficiency of retrieval.A virtual community in peer-to-peer networks is formed by a set of peers based on common interest and purpose.Most peer-to-peer information retrieval systems can just support keyword-based retrieval and semantics-free sharing of large granularity.In this paper,we analyze the formation and characteristics of communities in unstructured P2P networks,and propose a model of community-based semantic information retrieval system according to hybrid ontology-based integration approaches,which is composed of seven modules such as resource labeling module,query process module,resource search module,semantic match process module,output process module,user evaluation module and resource acquisition module.We also discuss community-based management mechanism of resources and the search strategy in detail.Finally,we conduct a simulation experiment.