Research on Key Technologies of Uncertain XML Sequence-Based Matching

ZHANG Xiao-lin; WANG Peng

Chinese

您当前的位置：

首页 >

文章列表页 >

Research on Key Technologies of Uncertain XML Sequence-Based Matching

更新时间：2026-09-04

- Research on Key Technologies of Uncertain XML Sequence-Based Matching
- Vol. 31, Issue 4, Pages: 123-127(2014)
- 作者机构：
  
  内蒙古科技大学机构信息工程学院,内蒙古,包头,014000
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2014
- 稿件说明：
移动端阅览
张晓琳, 王鹏. 不确定XML序列匹配关键技术研究[J]. 微电子学与计算机, 2014, 31(4): 123-127.

ZHANG Xiao-lin, WANG Peng. Research on Key Technologies of Uncertain XML Sequence-Based Matching[J]. 2014, 31(4): 123-127.
张晓琳, 王鹏. 不确定XML序列匹配关键技术研究[J]. 微电子学与计算机, 2014, 31(4): 123-127. DOI：

ZHANG Xiao-lin, WANG Peng. Research on Key Technologies of Uncertain XML Sequence-Based Matching[J]. 2014, 31(4): 123-127. DOI：

摘要

不确定XML小枝模式匹配的关键技术包括不确定XML文档格式，互斥节点识别，实例树概率计算和概率阈值过滤.目前，不确定XML二元结构连接和整体匹配方法无法充分利用算法的特点解决关键技术问题，针对这一不足，将序列匹配应用到不确定XML小枝模式匹配，并对不确定XML序列匹配关键技术问题进行分析和证明，理论分析和实验结果表明序列匹配方法应用到不确定XML小枝模式匹配是有效的.

Abstract

Key technologies of uncertain XML twig pattern matching include uncertain XML document format

recognition of exclusive distribution nodes

calculation of the probabilities of witness tree and probabilistic threshold filtering.At present

binary structure join and holistic matching over uncertain XML can’t make full use of the characteristics of algorithms to solve key technology issues.In order to overcome this limitation

this paper proposes an uncertain XML twig pattern matching method based on sequence-based matching.We also analyze and prove key technologies of uncertain XML sequence-based matching.The theory research and the results of experiment show the effectiveness of this method.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Steganography model guided by attention mechanism and improved dense convolution

Design of ultra-low power real-time clock circuits

Research on the design of blockchain-based AI-generated content traceability framework

Monte carlo analysis of V-layout trench SiC neutron detector

Aerial small object detection algorithm based on improved RT-DETR

Related Author

No data

Related Institution

No data

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰