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dc.contributor.authorYu, Bei
dc.contributor.authorLiu, Ling
dc.contributor.authorOoi, Beng Chin
dc.contributor.authorTan, Kian Lee
dc.date.accessioned2004-12-13T06:54:37Z
dc.date.available2004-12-13T06:54:37Z
dc.date.issued2005-01
dc.identifier.urihttp://hdl.handle.net/1721.1/7423
dc.description.abstractIn this paper, we present a P2P-based database sharing system that provides information sharing capabilities through keyword-based search techniques. Our system requires neither a global schema nor schema mappings between different databases, and our keyword-based search algorithms are robust in the presence of frequent changes in the content and membership of peers. To facilitate data integration, we introduce keyword join operator to combine partial answers containing different keywords into complete answers. We also present an efficient algorithm that optimize the keyword join operations for partial answer integration. Our experimental study on both real and synthetic datasets demonstrates the effectiveness of our algorithms, and the efficiency of the proposed query processing strategies.en
dc.description.sponsorshipSingapore-MIT Alliance (SMA)en
dc.format.extent200386 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.relation.ispartofseriesComputer Science (CS);
dc.subjectkeyword joinen
dc.subjectkeyword queryen
dc.subjectPeer-to-Peeren
dc.subjectdatabaseen
dc.titleKeyword Join: Realizing Keyword Search in P2P-based Database Systemsen
dc.typeArticleen


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