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Faster twig pattern matching using extended dewey ID

  • Chung Keung Poon
  • , Leo Yuen

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Finding all the occurrences of a twig pattern in an XML database is a core operation for efficient evaluation of XML queries. Recently, Lu et al. [7] proposed the TJFast algorithm that uses the extended Dewey labelling scheme and reported better performance compared with other state-of-the-art holistic twig join algorithms, both in terms of number of elements scanned and stored during the computation. In this paper, we designed an enhancement to further exploit the power of the extended Dewey ID. This reduces the CPU cost and also favors indexed inputs. Our algorithm can be shown analytically as efficient as TJFast in terms of worst case I/O, and experimentally performs significantly better. © Springer-Verlag Berlin Heidelberg 2006.
Original languageEnglish
Title of host publicationDatabase and Expert Systems Applications - 17th International Conference, DEXA 2006, Proceedings
PublisherSpringer Verlag
Pages297-306
Volume4080 LNCS
ISBN (Print)3540378715, 9783540378716
DOIs
Publication statusPublished - 2006
Event17th International Conference on Database and Expert Systems Applications, DEXA 2006 - Krakow, Poland
Duration: 4 Sept 20068 Sept 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4080 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference17th International Conference on Database and Expert Systems Applications, DEXA 2006
PlacePoland
CityKrakow
Period4/09/068/09/06

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

This research was fully supported by a grant from the Research Grants Council of the Hong Kong SAR, China [Project No. 9040906 (RGC Ref. No. CityU 1164/04E)].

RGC Funding Information

  • RGC-funded

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