摘要
现有对等网覆盖路由模型只适应精确查找,存在不支持语义查询的缺点。该文通过建立语义空间,根据所存储数据对象的兴趣来聚集节点,实现支持语义的对等网络路由模型,提高了搜索效率。仿真实验结果表明,该模型的搜索性能优于原有模型。
Peer-to-peer overlay route model is able to query accurately, but does not sustain semantic query. This paper clusters noaes according to their data interests by forming semantic space, and designs an improved semantic peer-to-peer route model to enhance file query efficiency. Simulating experimental results show that the improved model has better performance.
出处
《计算机工程》
CAS
CSCD
北大核心
2008年第13期110-112,共3页
Computer Engineering
基金
广西省自然科学青年基金资助项目(桂科青0832101)
关键词
对等网络
语义覆盖网
节点聚集
搜索效率
peer-to-peer
semantic overlay network
node clustering
query efficiency
