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  • Spelling suggestion for XML keyword search based on XSketch Synopsis

    Author(s)
    Li, S
    Wang, J
    Griffith University Author(s)
    Wang, John
    Year published
    2013
    Metadata
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    Abstract
    We study the spelling suggestion problem for XML keyword search, which provides users with alternative queries that may better express users' search intention. In order to return the suggested queries more efficiently, we evaluate the quality of the query by estimating the selectivity and quality of each query pattern. The selectivity estimation is based on the XSketch synopsis, which summarizes the structure and value distribution of the original XML data source. We propose an approach to generating the top-K query candidates. Experiments with real datasets verifies the effectiveness and efficiency of our approach.We study the spelling suggestion problem for XML keyword search, which provides users with alternative queries that may better express users' search intention. In order to return the suggested queries more efficiently, we evaluate the quality of the query by estimating the selectivity and quality of each query pattern. The selectivity estimation is based on the XSketch synopsis, which summarizes the structure and value distribution of the original XML data source. We propose an approach to generating the top-K query candidates. Experiments with real datasets verifies the effectiveness and efficiency of our approach.
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    Conference Title
    ACM International Conference Proceeding Series
    Publisher URI
    http://www.iiwas.org/conferences/iiwas2013/
    DOI
    https://doi.org/10.1145/2539150.2539166
    Subject
    Database systems
    Publication URI
    http://hdl.handle.net/10072/58726
    Collection
    • Conference outputs

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