摘要： 以语义网络理论为基础，结合GCNET拓扑结构，提出一种基于分组的语义对等网络——Semantic GCNET，充分利用GCNET网络具有小世界特征的优点，确保其搜索限制在与查询主题相关的局部节点子集中，解决其他一些语义对等网络对主题群搜索低效的问题，克服一些语义对等网络仅支持精确匹配查找的缺点。实验结果表明，Semantic GCNET具有高效的语义查询性能和查全率。

关键词: 覆盖网络, 语义对等网络, 查全率

Abstract: Based on semantic network theory and CGNET, a new semantic P2P network named Semantic GCNET is proposed. Using small world characteristic of GCNET, Semantic GCNET limits the query in the range of cluster. Compared with some other semantic overlay networks, this structure provides more efficient search for topic cluster. It provides effective approach to search for content based on complicated queries. Experimental result shows that semantic GCNET has efficient performance in semantic search and search recall ratio.

Key words: overlay network, semantic P2P network, search recall ratio

中图分类号: 

• TP393.02