eCite Digital Repository

Efficient XML keyword search: from graph model to tree model


Zeng, Y and Bao, Z and Ling, TW and Li, G, Efficient XML keyword search: from graph model to tree model, Database and Expert Systems Applications Part I, 26-29 August 2013, Prague, Czech Republic, pp. 25-39. ISBN 978-3-642-40284-5 (2014) [Refereed Conference Paper]

Copyright Statement

Copyright 2013 Springer

DOI: doi:10.1007/978-3-642-40285-2


Keyword search, as opposed to traditional structured query, has been becoming more and more popular on querying XML data in recent years. XML documents usually contain some ID nodes and IDREF nodes to represent reference relationships among the data. An XML document with ID/IDREF is modeled as a graph by existing works, where the keyword query results are computed by graph traversal. As a comparison, if ID/IDREF is not considered, an XML document can be modeled as a tree. Keyword search on XML tree can be much more efficient using tree-based labeling techniques. A nature question is whether we need to abandon the efficient XML tree search methods and invent new, but less efficient search methods for XML graph. To address this problem, we propose a novel method to transform an XML graph to a tree model such that we can exploit existing XML tree search methods. The experimental results show that our solution can outperform the traditional XML graph search methods by orders of magnitude in efficiency while generating a similar set of results as existing XML graph search methods.

Item Details

Item Type:Refereed Conference Paper
Keywords:graph search, indexing technique
Research Division:Information and Computing Sciences
Research Group:Data management and data science
Research Field:Data management and data science not elsewhere classified
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Information systems, technologies and services not elsewhere classified
UTAS Author:Bao, Z (Dr Zhifeng Bao)
ID Code:92177
Year Published:2014 (online first 2013)
Deposited By:Information and Communication Technology
Deposited On:2014-06-09
Last Modified:2015-02-13

Repository Staff Only: item control page