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Epidemic-Style Management of Semantic Overlays for Content-Based Searching

机译:基于内容的搜索的语义叠加疫情管理

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A lot of recent research on content-based P2P searching for file-sharing applications has focused on exploiting semantic relations between peers to facilitate searching. To the best of our knowledge, all methods proposed to date suggest reactive ways to seize peers' semantic relations. That is, they rely on the usage of the underlying search mechanism, and infer semantic relations based on the queries placed and the corresponding replies received. In this paper we follow a different approach, proposing a proactive method to build a semantic overlay. Our method is based on an epidemic protocol that clusters peers with similar content. It is worth noting that this peer clustering is done in a completely implicit way, that is, without requiring the user to specify his preferences or to characterize the content of files he shares.
机译:最近关于基于内容的P2P搜索文件共享应用程序的研究已经侧重于利用对等体之间的语义关系,以便于搜索。据我们所知,迄今为止迄今为止建议的所有方法都表明了阻止同行语义关系的反应方式。也就是说,他们依赖于潜在的搜索机制的使用,并根据放置的查询和接收的相应回复来推断语义关系。在本文中,我们遵循不同的方法,提出了一种建立语义叠加的主动方法。我们的方法基于群集具有类似内容的对等体的疫情协议。值得注意的是,这种对等聚类以完全隐式方式完成,即,不需要用户指定他的偏好或表征他共享的文件内容。

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