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Information retrieval in schema-based P2P systems using one-dimensional semantic space

机译:使用一维语义空间的基于模式的P2P系统中的信息检索

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The widespread use of RDF-based information necessitates efficient information retrieval techniques in wide-area networks. In this paper, we present Dynamic Semantic Space, a schema-based peer-to-peer overlay network that facilitates efficient lookup for RDF-based information in dynamic environments. Peers in this overlay are grouped based on the semantics of their data which are extracted according to a set of schemas, and self-organized as a semantic overlay network. To reduce overheads incurred by peer joining, leaving and content changes in a high-dimensional overlay network, peers are constructed as a one-dimensional semantic space that facilitates efficient routing for both pull and push requests. A search or a subscription request is only routed to the appropriate cluster that holds related data, thus reducing unnecessary search cost and increasing the efficiency of locating information. Through a comprehensive simulation study, we demonstrate the effectiveness of our proposed techniques.
机译:基于RDF的信息的广泛使用使得在广域网中需要有效的信息检索技术。在本文中,我们介绍了动态语义空间,这是一种基于模式的对等覆盖网络,可在动态环境中促进对基于RDF的信息的有效查找。根据其数据的语义对此覆盖中的对等方进行分组,这些数据根据一组模式提取,并自组织为语义覆盖网络。为了减少高维覆盖网络中的对等方加入,离开和内容更改所引起的开销,将对等方构造为一维语义空间,该空间有利于为请求请求和请求进行有效路由。搜索或订阅请求仅被路由到保存相关数据的适当群集,从而减少了不必要的搜索成本并提高了信息查找的效率。通过全面的模拟研究,我们证明了所提出技术的有效性。

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