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pKSS: An Efficient Keyword Search System in DHT Peer-to-Peer Network

机译:pKSS:DHT对等网络中的高效关键字搜索系统

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摘要

The state-of-the-art keyword search system for structured P2P systems is built on the distributed inverted index. However, Distributed inverted index by keywords may incur significant bandwidth for executing more complicated search queries such as multiple-attribute queries. In order to reduce query overhead, KSS (Keyword Set Search) by Gnawali partitions the index by a set of keywords. However, a KSS index is considerably larger than a standard inverted index, since there are much more word sets than individual words. And the insert overhead and storage overhead are obviously unacceptable for full-text search on a collection of documents. In this paper, we presents pKSS, a P2P keyword search system that that adopts term ranking approach such as TFIDF and exploits the relationship information between query keywords to improve performance of P2P keyword search. Experimental results clearly demonstrated that the improved keyword search is more efficient than KSS index in insert overhead and storage overhead, and much less than standard inverted index on bandwidth costs for a query.
机译:用于结构化P2P系统的最新关键字搜索系统建立在分布式倒排索引上。但是,按关键字分布的反向索引可能会占用大量带宽,以执行更复杂的搜索查询,例如多属性查询。为了减少查询开销,Gnawali的KSS(关键字集搜索)将索引按一组关键字进行分区。但是,KSS索引比标准倒排索引大得多,因为单词集比单个单词多得多。而且,对于一组文档的全文搜索,插入开销和存储开销显然是不可接受的。在本文中,我们提出了pKSS,这是一种P2P关键字搜索系统,该系统采用诸如TFIDF的术语排名方法,并利用查询关键字之间的关系信息来提高P2P关键字搜索的性能。实验结果清楚地表明,改进的关键字搜索在插入开销和存储开销方面比KSS索引更有效,并且在查询的带宽成本上比标准倒排索引要低得多。

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