• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Proceedings of the international workshop on Information retrieval in peer-to-peer networks >Emerging semantic communities in peer web search
【24h】

Emerging semantic communities in peer web search

机译：对等网络搜索中新兴的语义社区

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Peer network systems are becoming an increasingly important development in Web search technology. Many studies show that peer search systems perform better when a query is sent to a group of peers semantically similar to the query. This suggests that semantic communities should form so that a query can quickly propagate to many appropriate peers. For the network to be functional, its dynamic communication topology must match the semantic clustering of peers. We introduce two criteria to evaluate a peer search network based on the concept of semantic locality: first, the "small-world" topology of the network; second, we use topical semantic similarity to monitor the quality of a peer's neighbors over time by looking at whether a peer chooses semantically appropriate neighbors to route its queries. We present several simulation experiments conducted with different peer search algorithms on our peer Web search system, 6S. The results suggest that 6S, despite its use of an unstructured overlay network; can effectively foster the spontaneous formation of semantic communities through local peer interactions alone.
机译：对等网络系统正成为Web搜索技术中越来越重要的发展。许多研究表明，将查询发送到语义上与查询相似的一组对等方时，对等搜索系统的性能会更好。这表明应该形成语义社区，以便查询可以快速传播到许多适当的对等方。为了使网络正常运行，其动态通信拓扑必须与对等方的语义集群相匹配。我们基于语义局部性的概念引入两个标准来评估对等搜索网络：首先是网络的“小世界”拓扑；其次是网络的“小世界”拓扑。第二，我们使用主题语义相似性来通过查看对等方是否选择语义上适当的邻居来路由其查询来随时间监视对等方邻居的质量。我们介绍了在对等网络搜索系统6S上使用不同的对等搜索算法进行的几个模拟实验。结果表明，尽管使用了非结构化覆盖网络，但是6S仍然有效。仅通过本地对等方交互就可以有效地促进语义社区的自发形成。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号