基于结构化P2P的语义查询技术

Semantic Search Based on Structured P2P

由于P2P系统可以高效地对资源进行共享而受到关注,但现在的P2P仅支持精确查找或者通过洪泛方式进行低效率文本检索。为了解决这个问题,该文提出了一种结构化P2P环境中的文本检索系统,使用LSH函数将高维语义相关的文本向量映射相近的节点上,并解决了由此带来的负载均衡问题。实验结果显示该系统具有很好的查询准确率和负载均衡性能。

Peer-to-Peer （P2P） overlays are appealing, since they can aggregate resources of end systems without relying on sophisticated infrastructures. Unfortunately current peer-to-peer systems either offer exact keyword match or provide inefficient text search methods through centralized indexing or flooding. In this paper, a semantic search system is proposed for structured P2P overlays without relying on message flooding. LSH is used to map semantically related text vector to nearly node, and a mechanism is carefully designed to cope with load balancing. Experimental results show that this is a steady system with high recall, good load balance.