• DocumentCode
    3123408
  • Title

    Reachability Indexes for Relational Keyword Search

  • Author

    Markowetz, Alexander ; Yang, Yin ; Papadias, Dimitris

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Hong Kong Univ. of Sci. & Technol., Hong Kong
  • fYear
    2009
  • fDate
    March 29 2009-April 2 2009
  • Firstpage
    1163
  • Lastpage
    1166
  • Abstract
    Due to its considerable ease of use, relational keyword search (R-KWS) has become increasingly popular. Its simplicity, however, comes at the cost of intensive query processing. Specifically, R-KWS explores a vast search space, comprised of all possible combinations of keyword occurrences in any attribute of every table. Existing systems follow two general methodologies for query processing: (i) graph based, which traverses a materialized data graph, and (ii) operator based, which executes relational operator trees on an underlying DBMS. In both cases, computations are largely wasted on graph traversals or operator tree executions that fail to return results. Motivated by this observation, we introduce a comprehensive framework for reachability indexing that eliminates such fruitless operations. We describe a range of indexes that capture various types of join reachability. Extensive experiments demonstrate that the proposed techniques significantly improve performance, often by several orders of magnitude.
  • Keywords
    query processing; reachability analysis; relational databases; trees (mathematics); graph traversals; intensive query processing; materialized data graph; reachability indexes; relational keyword search; relational operator trees; Computer science; Costs; Data engineering; Indexing; Information retrieval; Keyword search; Query processing; Relational databases; Space technology; Tree graphs; Keywoed Search; Reachability Indexing; Relational Databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering, 2009. ICDE '09. IEEE 25th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    1084-4627
  • Print_ISBN
    978-1-4244-3422-0
  • Electronic_ISBN
    1084-4627
  • Type

    conf

  • DOI
    10.1109/ICDE.2009.191
  • Filename
    4812491