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...
| Main Authors: | , |
|---|---|
| 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 |
| Summary: | 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. |
|---|