Detecting Content Changes on Ordered XML Documents using Relational Databases
Abstract
Previous works in change detection on XML focused on detecting changes to text file using ordered and unordered tree model. These approaches are not suitable for detecting changes to large XML document as it requires a lot of memory to keep the two versions of XML documents in the memory. in this paper, we take a more conservative yet novel approach of using traditional relational database engines for detecting content changes of ordered large XML data. First, we store XML documents in RDBMS. Then, we detect the changes by using a set of SQL queries. Experimental results show that our approach has better scalability, better performance, and comparable result quality compared to the state-of-the-art approaches. © Springer-Verlag Berlin Heidelberg 2004.
Recommended Citation
E. Leonardi et al., "Detecting Content Changes on Ordered XML Documents using Relational Databases," Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3180, pp. 580 - 590, Springer, Jan 2004.
The definitive version is available at https://doi.org/10.1007/978-3-540-30075-5_56
Department(s)
Computer Science
International Standard Book Number (ISBN)
978-354022936-0
International Standard Serial Number (ISSN)
1611-3349; 0302-9743
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Springer, All rights reserved.
Publication Date
01 Jan 2004
