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addresses the problem of keyword-based search in structured P2P networks. We propose a new keyword-based searching algorithm which can be implemented on top of any structured P2P overlay. We demonstrate that the proposed algorithm achieves very good searching results as it requires the minimum number of messages to be sent in
Structured P2P systems can locate a resource by the unique identifier of the resource using distributed hash table. So users must know the identifier of a resource exactly to retrieve the resource in such systems. In addition, because of the variety and complexity of resources, a resource can not be described exactly and integrally only with an identifier, but needs multiple properties. Using metadata...
Searching with partial knowledge and misspelled keywords is a challenging problem in peer-to-peer networks. This paper presents FM-chord, a novel searching mechanism for information retrieval with queries containing spelling and pronunciation mistakes in keywords using a widely-used structured overlay Chord. FM-chord
queries by weighting keywords based on term frequency. Using rank values, QRank selects proper search strategies for queries. We conduct comprehensive trace-driven simulations to evaluate this design. Results show that QRank significantly improves the search quality as well as reducing system traffic cost compared with
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