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.
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References
Wang, Y., DeWitt, D.J., Cai, J.: X-Diff: An Effective Change Detection Algorithm for XML Documents. In: Proceedings of 19th ICDE, India (2003)
Cobena, G., Abiteboul, S., Marian, A.: Detecting Changes in XML Documents. In: Proceedings of 18th ICDE, San Jose, California, USA (2002)
Curbera, Epstein, D.A.: Fast Difference and Update of XML Documents. In: XTech 1999, San Jose (1999)
Florescu, D., Kossmann, D.: Storing and Querying XML Data using an RDMBS. IEEE Data Engineering Bulletin 22(3) (1999)
Jiang, H., Lu, H., Wang, W., Xu Yu, J.: XParent: An Efficient RDBMS-Based XML Database System. In: Proceedings of the 18th ICDE 2002 (Poster Paper), San Jose, California, USA (2002)
Online Computer Library Center. Introduction to the Dewey Decimal Classification, http://www.oclc.org/oclc/fp/about/about_the_ddc.htm
Prakash, S., Bhowmick, S.S., Mardia, S.: SUCXENT: An Efficient Path-based Approach to Store and Query XML Documents. In: Galindo, F., Takizawa, M., Traunmüller, R. (eds.) DEXA 2004. LNCS, vol. 3180, pp. 285–295. Springer, Heidelberg (2004)
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Leonardi, E., Bhowmick, S.S., Dharma, T.S., Madria, S. (2004). Detecting Content Changes on Ordered XML Documents Using Relational Databases. In: Galindo, F., Takizawa, M., Traunmüller, R. (eds) Database and Expert Systems Applications. DEXA 2004. Lecture Notes in Computer Science, vol 3180. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30075-5_56
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DOI: https://doi.org/10.1007/978-3-540-30075-5_56
Publisher Name: Springer, Berlin, Heidelberg
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