arrow
返回

Evaluating universal quantification in XML

delete2007-11-01
delete3
PRE
AI
B
Bin Liu
H
H. V. Jagadish
DOI:10.1109/TKDE.2007.190643delete
delete原文链接
delete分享
delete收藏
摘要

摘要

En 中文
Queries posed to database systems often involve Universal Quantification. Such queries are typically expensive to evaluate. Although they can be handled by basic access methods, for selection, grouping, and so forth, new access methods specifically tailored to evaluate universal quantification can greatly decrease the computational cost. In this paper, we study the efficient evaluation of universal quantification in an XML database. Specifically, we develop a small taxonomy of universal quantification types and define a family of algorithms suitable for handling each. We experimentally demonstrate the performance benefits of the new family of algorithms.
Keyword:
query processing
XML
AI总结

AI总结

对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。

期刊

IEEE Transactions on Knowledge and Data Engineering 封面图
IEEE Transactions on Knowledge and Data Engineering
IF:
10.4
论文数:
6.9K
被引数:
3.5W

机构

暂无机构信息
引用论文

引用论文

Intercultural Language Teaching and Learning
err
IF0
err2013-02-18
err0
errOAAI
errAnthony J. Liddicoat; Angela Scarino
err分享
err收藏
err分享
err收藏
Modeling the complete chemokine–receptor interaction
err2019-01-01
err0
errOAAI
errMichael J. Wedemeyer; Benjamin K. Mueller; Brian J. Bender; Jens Meiler; Brian F. Volkman
err分享
err收藏
err分享
err收藏
没有更多内容