TSPN: Term-based semantic peer-to-peer networks |
| |
Authors: | Guoqiang Gao Ruixuan Li Zhengding Lu |
| |
Affiliation: | School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China; 2. School of Media and Communication, Wuhan Textile University, Wuhan 430073, Hubei, China |
| |
Abstract: | 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 churn. The experimental results show that TSPN has better performance compared with the existing P2P semantic searching algorithms. |
| |
Keywords: | Term-based Semantic Peer-to-Peer Networks (TSPN) peer-to-peer semantic parsing semantic DHT |
本文献已被 CNKI SpringerLink 等数据库收录! |
|