Abstract
As XML data becomes central to business-critical applications, there is a growing need for efficient and reliable XML storage. Two main approaches have been proposed for storing XML data: native and colonial systems. Native systems (e.g., [19], [20]) are designed from the ground up specifically for XML and XML query languages. Colonial systems (e.g., [5],[7], [19]), on the other hand, attempt to reuse existing commercial database systems (DBMS) by mapping XML into the underlying model used by the DBMS. Colonial systems can thus leverage features, such as concurrency control, crash recovery, scalability, and highly optimized query processors available in the DMBS, making them an attractive alternative for managing XML data. However, several technical challenges need to be addressed in terms of architecture, algorithms, and implementation of these systems.In this paper, we described how these issues are addressed in the context of colonial systems that use relational databases as the underlying DBMS.
Current address: juliana@cse.ogi.edu.
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Freire, J., Siméon, J. (2003). Adaptive XML Shredding: Architecture, Implementation, and Challenges. In: Bressan, S., Lee, M.L., Chaudhri, A.B., Yu, J.X., Lacroix, Z. (eds) Efficiency and Effectiveness of XML Tools and Techniques and Data Integration over the Web. DIWeb EEXTT 2002 2002. Lecture Notes in Computer Science, vol 2590. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36556-7_7
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