Efficient Numeric Update Method over Compressed XML
XML压缩文档上的数值更新方法

XML has become the de-facto standard for exchanging information on theWeb. However, XML data is recognized as verbose since its heavily repeated tags introduce significant redundancy. In order to save disk space and network bandwidth, a variety of compressing methods have been presented. Practically, Query and Update operations are two most frequently used operations. Efficient Update methods are required if there is a need to modify stored compressed XML data. In this paper, we focus on update problem of numeric data in compressed XML. Firstly, we make formal definition and classification of update types of numeric data. Secondly, we show major challenges and bottlenecks when dealing with the problem. Then, a naive update method for compressed XML data using XPRESS approach is presented. In order to improve performance, a novel method - Pivot method is designed. Experiment results with DBLP data set show that the Pivot method achieves better performance yet not comprising on compression ratio.