Abstract
The resource location of traditional structured P2P Networks is usually with high efficiency, but do not support the retrieval of semantic correlation. Therefore, this paper on the basis of studying structured P2P Networksdeeply, combines with the advantages of search-engine technology, then proposesa layered P2P network retrieval model of semantics based on VS-KAD protocol (KSL-P2P). This model uses the characteristics of semantic clustering in stored documents of peers' and improves inverted index structure to express peers' semantic to make the peers that have the similar semantic distributed in the same domainand overcome the shortcoming of traditional retrieval methods enhance efficiency. The domains which have the similar semantic establish neighbor relationships to improve the efficiency of routing and manageability of the network. Experiment and analysis show that with the routing tables getting richer, routing complexity and query delay of KSL-P2P are superior to the original Kademlia protocol.
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