Hash-search: An efficient SLCA-based keyword search algorithm on XML documents

Weiyan Wang*, Xiaoling Wang, Aoying Zhou

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

24 Scopus citations

Abstract

XML is a de-facto standard for exchanging and presenting information and keyword search over XML documents has become an interesting topic. However semi-structured XML data give rise to many challenges of conventional information retrieval technologies. In order to return highly-related data nodes and improve the quality of keyword search result, SLCA(Smallest Lowest Common Ancestor )-based keyword search on XML data is recently attracting more and more attention in the database community. In this paper, we design efficient index and propose hash-based method to answer SLCA-based keyword search queries. Our approach outperforms Incremental Multiway-SLCA approach, which is the most efficient algorithms in the literature. We demonstrate the effectiveness of our algorithms analytically and experimentally.

Original languageEnglish
Title of host publicationDatabase Systems for Advanced Applications - 14th International Conference, DASFAA 2009, Proceedings
Pages496-510
Number of pages15
DOIs
StatePublished - 2009
Event14th International Conference on Database Systems for Advanced Applications, DASFAA 2009 - Brisbane, QLD, Australia
Duration: 21 Apr 200923 Apr 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5463
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th International Conference on Database Systems for Advanced Applications, DASFAA 2009
Country/TerritoryAustralia
CityBrisbane, QLD
Period21/04/0923/04/09

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