在这份报纸,我们建议基于术语的语义 Peerto 同伴网络(TSPN ) 完成语义搜索。为每个同伴, TSPN 造它的文件的一个全文索引。通过资源的分析, TSPN 获得术语的系列,并且散布这些术语进网络。因此, TSPN 能使用询问术语定位适当同伴执行语义搜索。而且 TSPN 不同于传统的结构化的 P2P 网络,使用术语,不是同伴,, DHT 的逻辑节点。这能承受网络搅拌机的影响。试验性的结果证明 TSPN 与存在 P2P 相比有更好的性能语义寻找算法。
In this paper, we propose Term-based Semantic Peerto-Peer Networks (TSPN) to achieve semantic search. For each peer, TSPN builds a full text index of its documents. Through the analysis of resources, TSPN obtains series of terms, and distributes these terms into the network. Thus, TSPN can use query terms to locate appropriate peers to perform semantic search. Moreover, unlike the traditional structured P2P networks, TSPN uses the terms, not the peers, as the logical nodes of DHT. This can withstand the impact of network chum. The experimental results show that TSPN has better performance compared with the existing P2P semantic searching algorithms.