%0 Journal Article
%T P2P complex search based on Ontology<br>基于本体的P2P复杂搜索
%A WANG Zhi-xiao
%A ZHANG Da-lu
%A LIU Lei
%A YAO Chuan-mao
%A <br>王志晓
%A 张大陆
%A 刘雷
%A 姚传茂
%J 计算机应用
%D 2007
%I 
%X The traditional DHT-P2P system has its limitations. It can only perform single keyword search and cannot understand the meanings of users' requests. P2P complex search based on Ontology was studied. Vector Space Model theory was used to describe documents. And the P2P identifier space was divided to gather the similar documents at adjacent nodes. Therefore, the problem of multi-keywords complex search was solved, and in the mean time, the search process was speeded up. With the help of Ontology, the whole system could understand users' requests better and broaden the searching scope reasonably to avoid missing partial result. Simulated system partially implemented by this theory has accomplished complex search, accelerated the search process, and improved the recall. In addition, it has achieved a better load balance of nodes.
%K Peer to Peer (P2P)
%K complex search
%K Vector Space Model (VSM)
%K Ontology
%K load balance<br>对等网
%K 复杂搜索
%K 向量空间模型
%K 本体
%K 负载平衡
%K 本体知识
%K 搜索速度
%K Ontology
%K based
%K search
%K 负载平衡
%K 查全率
%K 仿真系统
%K 理论构建
%K 搜索结果
%K 实验
%K 遗漏
%K 搜索范围
%K 利用
%K 问题
%K 词复
%K 多特征
%K 聚集
%K 节点
%K 描述文档
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=14E16CBD27430512B09A267F18F6116A&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=E158A972A605785F&sid=5E191A234CD3698F&eid=839A12D3ACF8C715&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=12