The Web continues to offer new services and in doing so, generates large volumes of new data. The concept of the Sensor Web has led to web generated sensor data becoming available not only to the companies that own the sensors but also to end users and knowledge workers. Applications vary from climate, traffic and sports event monitoring. In one application that provides an availability service for bicycle rentals in major cities, large volumes of data are collected for data mining purposes. All transactions are recorded and stored in XML format leading to performance issues as volumes increase. In this paper, we apply a new optimization technique to boosting the performance of XML queries on Sensor Web data.
|Cite as: Marks, G., Roantree, M. and Smyth, D. (2011). Optimizing Queries for Web Generated Sensor Data. In Proc. Australasian Database Conference (ADC 2011) Perth, Australia. CRPIT, 115. Heng Tao Shen and Yanchun Zhang Eds., ACS. 47-56 |
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