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In-Place versus Re-Build versus Re-Merge: Index Maintenance Strategies for Text Retrieval Systems

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dc.contributor.author Lester Nicholas
dc.contributor.author Zobel Justin
dc.contributor.author Williams Hugh E
dc.date.accessioned 2018-01-22T17:23:54Z
dc.date.available 2018-01-22T17:23:54Z
dc.date.issued 2004
dc.identifier.uri http://hdl.handle.net/123456789/6881
dc.description.abstract Indexes are the key technology underpinning efficient text search. A range of algorithms have been developed for fast query evaluation and for index creation, but update algorithms for high-performance indexes have not been evaluated or even fully described. In this paper, we explore the three main alternative strategies for index update: in-place update, index merging, and complete rebuild. Our experiments with large volumes of web data show that re-merge is for large numbers of updates the fastest approach, but in-place update is suitable when the rate of update is low or buffer size is limited.
dc.format application/pdf
dc.title In-Place versus Re-Build versus Re-Merge: Index Maintenance Strategies for Text Retrieval Systems
dc.type generic


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