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Study on semantic-oriented hybrid indexing strategy of resource metadata in peer-to-peer network

机译:对等网络中资源元数据的语义导向混合索引策略研究

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Applying ontology to describe resource metadata richly in the peer-to-peer environment has become current research trend. In this semantic peer-to-peer environment, indexing semantic element of resource description to support efficient resource location is a difficult and challenging problem. This paper provided a hybrid indexing architecture, which combines local indexing and global indexing. It uses community strategy and semantic routing strategy to organize key layer metadata element and uses DHT (distributed hash table) to index extensional layer metadata element. Compared with related system, this approach is more efficient in resource location and more scalable.
机译:应用本体来描述在对等环境中丰富地描述资源元数据已成为目前的研究趋势。在这个语义对等环境中,资源描述的索引语义元素支持有效的资源位置是一个困难和具有挑战性的问题。本文提供了一个混合索引架构,它结合了本地索引和全局索引。它使用社区策略和语义路由策略来组织关键层元数据元素,并使用DHT(分布式哈希表)来索引扩展层元数据元素。与相关系统相比,这种方法在资源位置更有效,更可扩展。

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