• myGriffith
    • Staff portal
    • Contact Us⌄
      • Future student enquiries 1800 677 728
      • Current student enquiries 1800 154 055
      • International enquiries +61 7 3735 6425
      • General enquiries 07 3735 7111
      • Online enquiries
      • Staff phonebook
    View Item 
    •   Home
    • Griffith Research Online
    • Journal articles
    • View Item
    • Home
    • Griffith Research Online
    • Journal articles
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

  • All of Griffith Research Online
    • Communities & Collections
    • Authors
    • By Issue Date
    • Titles
  • This Collection
    • Authors
    • By Issue Date
    • Titles
  • Statistics

  • Most Popular Items
  • Statistics by Country
  • Most Popular Authors
  • Support

  • Contact us
  • FAQs
  • Admin login

  • Login
  • Fast Matching of Twig Patterns

    Thumbnail
    View/Open
    53080_1.pdf (325.5Kb)
    Author(s)
    Li, Jiang
    Wang, Junhu
    Griffith University Author(s)
    Wang, John
    Year published
    2008
    Metadata
    Show full item record
    Abstract
    Twig pattern matching plays a crucial role in data processing. Existing twig pattern matching algorithms can be classified into two-phase algorithms and one-phase algorithms. While the two-phase algorithms (e.g., ) suffer from expensive merging cost, the one-phase algorithms (e.g., , , ) either lack efficient filtering of useless elements, or use over-complicated data structures. In this paper, we present two novel one-phase holistic twig matching algorithms, TwigMix and , which combine the efficient selection of useful elements (introduced in ) with the simple lists for storing final solutions (introduced in ). simply ...
    View more >
    Twig pattern matching plays a crucial role in data processing. Existing twig pattern matching algorithms can be classified into two-phase algorithms and one-phase algorithms. While the two-phase algorithms (e.g., ) suffer from expensive merging cost, the one-phase algorithms (e.g., , , ) either lack efficient filtering of useless elements, or use over-complicated data structures. In this paper, we present two novel one-phase holistic twig matching algorithms, TwigMix and , which combine the efficient selection of useful elements (introduced in ) with the simple lists for storing final solutions (introduced in ). simply introduces the element selection function of into to avoid manipulation of useless elements in the stack and lists. further improves this by introducing some pointers in the lists to completely avoid the use of stacks. Our experiments show significantly and consistently outperforms and (up to several times faster), and is up to two times faster than .
    View less >
    Journal Title
    Lecture Notes in Computer science
    Volume
    5181
    DOI
    https://doi.org/10.1007/978-3-540-85654-2_45
    Copyright Statement
    © 2008 Springer Berlin / Heidelberg. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. The original publication is available at www.springerlink.com
    Subject
    Database systems
    Publication URI
    http://hdl.handle.net/10072/23610
    Collection
    • Journal articles

    Footer

    Disclaimer

    • Privacy policy
    • Copyright matters
    • CRICOS Provider - 00233E
    • TEQSA: PRV12076

    Tagline

    • Gold Coast
    • Logan
    • Brisbane - Queensland, Australia
    First Peoples of Australia
    • Aboriginal
    • Torres Strait Islander