XTREAM: An efficient multi-query evaluation on streaming XML data

被引:7
|
作者
Min, Jun-Ki [1 ]
Park, Myung-Jae
Chung, Chin-Wan
机构
[1] Korean Univ Technol & Educ, Sch Internet Media Engn, Chungnam 330708, South Korea
[2] Korea Adv Inst Sci & Technol, Dept Elect Engn & Comp Sci, Div Comp Sci, Taejon 305701, South Korea
关键词
XML; stream XML data;
D O I
10.1016/j.ins.2007.03.009
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Recently, there has been growing interest in streaming XML data. Much of the work on streaming XML data has been focused on efficient filtering. Filtering systems deliver XML documents to interested users. The burden of extracting the XML fragments of interest from XML documents is placed on users. In this paper, we propose XTREAM which evaluates multiple queries in conjunction with the read-once nature of streaming data. In contrast to the previous work, XTREAM supports a wide class of XPath queries including tree shaped expressions, order based predicates, and nested predicates. In addition, to improve the efficiency and scalability of XTREAM, we devise an optimization technique called Query Compaction. Experimental results with real-life and synthetic XML data demonstrate the efficiency and scalability of XTREAM. (c) 2007 Elsevier Inc. All rights reserved.
引用
收藏
页码:3519 / 3538
页数:20
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