摘要
在分析了以往P2P系统信息检索基础上,针对结构化P2P检索存在的问题,提出了一种有效的结构化P2P信息检索。结合利用向量空间模型(VSM)技术和位置敏感散列(LSH)技术,使得语义内容相似的文挡易于分布在相同的节点上,提高了搜索速度。同时采用了本体知识,增强对用户请求的语义理解,提高了搜索性能。
Analyzing the application of traditional P2P information retrieval, according to disadvantage of structured P2P retrieval, an effective information retrieval of structured P2P is presented. Technologies ofvector space model and local sensitive Hashing are adopted. The basic idea is to place semantically close files into same peer nodes with high probability. Search process is improved. At the same time, Ontology idea assists P2P system better understanding the query and improves its performance.
出处
《计算机工程与设计》
CSCD
北大核心
2009年第16期3787-3789,3819,共4页
Computer Engineering and Design
关键词
P2P
信息检索
分布式哈希表
向量空间模型
位置敏感散列
P2P
information retrieval
distributed Hash table
vector space model
local sensitive hashing
