An architectural framework for native XML data management
Publication Type
Conference Proceeding Article
Publication Date
2003
Abstract
With rapid increase of semistructured data over the Web, XML becomes popular to represent such data and emerges as a de facto standard for information exchange among e-business applications. Since XML data are widely distributed, new native XML database systems, which are specifically tailored for managing such data, become necessary. Unlike data in conventional databases, XML has special characteristics and constraints, thus, well-defined architectural framework for conventional databases are not completely relevant to be adopted in native databases. Current state-of-the-art native databases employed their own architectures in their database designs, as a result, they are inconsistent and there is still lack of a common architectural framework that can be referenced by future XML database designers. We aim to fulfill this requirement. In this paper, we propose a general and an extended architectural frame-works that are derived from our practical experience on designing an efficient storage for XML data while preserving desirable features and possible constraints. The validation demonstrates that the proposed framework covers the architectures employed in current state-of-the-art native database systems.
Keywords
Design Methodology, Native XML Database, Database System Architecture, Semistructured Data Management
Discipline
Databases and Information Systems | Numerical Analysis and Scientific Computing
Publication
International Conference on Cyberworlds
First Page
302
Last Page
310
ISBN
9780769519227
Identifier
10.1109/CYBER.2003.1253469
Publisher
IEEE
City or Country
Singapore
Citation
WIN, Khin-Myo; NG, Wee-Keong; and LIM, Ee Peng.
An architectural framework for native XML data management. (2003). International Conference on Cyberworlds. 302-310.
Available at: https://ink.library.smu.edu.sg/sis_research/1000
Additional URL
http://doi.ieeecomputersociety.org/10.1109/CYBER.2003.1253469