Data storage practices and query processing in XML databases: A survey

With the rapid emergence of XML as a data exchange standard over the Web, storing and querying XML data have become critical issues. The two main approaches to storing XML data are (1) to employ traditional storage such as relational database, object-oriented database and so on, and (2) to create an...

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Main Authors: Haw, Su-Cheng, Lee, Chien-Sing
Format: Article
Language:English
Published: ELSEVIER SCIENCE BV 2011
Subjects:
Online Access:http://shdl.mmu.edu.my/3327/
http://shdl.mmu.edu.my/3327/1/7.pdf
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author Haw, Su-Cheng
Lee, Chien-Sing
author_facet Haw, Su-Cheng
Lee, Chien-Sing
author_sort Haw, Su-Cheng
building MMU Institutional Repository
collection Online Access
description With the rapid emergence of XML as a data exchange standard over the Web, storing and querying XML data have become critical issues. The two main approaches to storing XML data are (1) to employ traditional storage such as relational database, object-oriented database and so on, and (2) to create an XML-specific native storage. The storage representation affects the efficiency of query processing. In this paper, firstly, we review the two approaches for storing XML data. Secondly, we review various query optimization techniques such as indexing, labeling and join algorithms to enhance query processing in both approaches. Next, we suggest an indexing classification scheme and discuss some of the current trends in indexing methods, which indicate a clear shift towards hybrid indexing. (C) 2011 Elsevier B.V. All rights reserved.
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spelling mmu-33272014-03-04T08:57:42Z http://shdl.mmu.edu.my/3327/ Data storage practices and query processing in XML databases: A survey Haw, Su-Cheng Lee, Chien-Sing T Technology (General) QA75.5-76.95 Electronic computers. Computer science With the rapid emergence of XML as a data exchange standard over the Web, storing and querying XML data have become critical issues. The two main approaches to storing XML data are (1) to employ traditional storage such as relational database, object-oriented database and so on, and (2) to create an XML-specific native storage. The storage representation affects the efficiency of query processing. In this paper, firstly, we review the two approaches for storing XML data. Secondly, we review various query optimization techniques such as indexing, labeling and join algorithms to enhance query processing in both approaches. Next, we suggest an indexing classification scheme and discuss some of the current trends in indexing methods, which indicate a clear shift towards hybrid indexing. (C) 2011 Elsevier B.V. All rights reserved. ELSEVIER SCIENCE BV 2011-12 Article PeerReviewed text en http://shdl.mmu.edu.my/3327/1/7.pdf Haw, Su-Cheng and Lee, Chien-Sing (2011) Data storage practices and query processing in XML databases: A survey. Knowledge-Based Systems, 24 (8). pp. 1317-1340. ISSN 09507051 http://dx.doi.org/10.1016/j.knosys.2011.06.006 doi:10.1016/j.knosys.2011.06.006 doi:10.1016/j.knosys.2011.06.006
spellingShingle T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
Haw, Su-Cheng
Lee, Chien-Sing
Data storage practices and query processing in XML databases: A survey
title Data storage practices and query processing in XML databases: A survey
title_full Data storage practices and query processing in XML databases: A survey
title_fullStr Data storage practices and query processing in XML databases: A survey
title_full_unstemmed Data storage practices and query processing in XML databases: A survey
title_short Data storage practices and query processing in XML databases: A survey
title_sort data storage practices and query processing in xml databases: a survey
topic T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
url http://shdl.mmu.edu.my/3327/
http://shdl.mmu.edu.my/3327/
http://shdl.mmu.edu.my/3327/
http://shdl.mmu.edu.my/3327/1/7.pdf