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Interactive Query Refinement

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    Publication properties
    Title: Interactive Query Refinement
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    Date: 2009
    Publication type: Conference paper
    Authors:
    No. First name Last name Show
    1. Chaitanya Mishra
    2. Nick Koudas
    Download (by DOI): 10.1145/1516360.1516459
    BibTeX: conf/edbt/MishraK09
    DBLP: db/conf/edbt/edbt2009.html#MishraK09
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    Conference Track
    Conference Name: EDBT 2009, 12th International Conference on Extending Database Technology, Saint Petersburg, Russia, March 24-26, 2009 2009
    Track Name: Research
    URL: http://www.edbt.org/Proceedings/2009-StPetersburg/edbt/sessions/research.html

    Abstract
           We investigate the problem of refining SQL queries to satisfy
           cardinality constraints on the query result. This has
           applications to the many/few answers problems often faced by
           database users. We formalize the problem of query refinement and
           propose a framework to support it in a database system. We
           introduce an interactive model of refinement that incorporates
           user feedback to best capture user preferences. Our techniques
           are designed to handle queries having range and equality
           predicates on numerical and categorical attributes. We present
           an experimental evaluation of our framework implemented in an
           open source data manager and demonstrate the feasibility and
           practical utility of our approach.