Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/40325
Title: Efficient XML data management: An analysis
Authors: Nambiar, U.
Lacroix, Z.
Bressan, S. 
Lee, M.L. 
Li, Y.G. 
Issue Date: 2002
Source: Nambiar, U.,Lacroix, Z.,Bressan, S.,Lee, M.L.,Li, Y.G. (2002). Efficient XML data management: An analysis. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2455 LNCS : 87-98. ScholarBank@NUS Repository.
Abstract: With XML rapidly gaining popularity as the standard for data exchange on the World Wide Web, a variety of XML management systems (XMLMS) are becoming available. The choice of an XMLMS is made difficult by the significant difference in the expressive power of the queries and the performance shown by these XMLMS. Most XMLMS are legacy systems (mostly relational) extended to load, query, and publish data in XML format. A few are native XMLMS and capture all the characteristics of XML data representation. This paper looks at expressive power and efficiency of various XMLMS. The performance analysis relies on the testbed provided by XOO7, a benchmark derived from OO7 to capture both data and document characteristics of XML. We present efficiency results for two native XMLMS, an XML-enabled semi-structured data management system and an XML-enabled RDBMS, which emphasize the need for a delicate balance between the data-centric and document-centric aspects of XML query processing. © Springer-Verlag Berlin Heidelberg 2002.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/40325
ISBN: 3540441379
ISSN: 03029743
Appears in Collections:Staff Publications

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