Optimizing XML Data with View Fragments

Liu, J., Roantree, M. and Bellahsene, Z.

As web-based applications and data continue to grow, large caches of XML data will result in many application domains. In sensor web applications, there are continuous streams of sensor data being generated, converted to XML and stored for domain queries and data mining purposes. The main problem with these XML caches is that existing XML database queries are very slow, especially for large databases or those with complex structures. In this work we propose a view-based system to XML optimization where the most popular or well-chosen queries are materialized and fragmented to greatly improve the performance of all XML queries.

Cite as: Liu, J., Roantree, M. and Bellahsene, Z. (2010). Optimizing XML Data with View Fragments. In Proc. 21st Australasian Database Conference (ADC 2010) Brisbane, Australia. CRPIT, 104. Shen H.T. and Bouguettaya, A. Eds., ACS. 151-160

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