Approximate matching of XML documents with schemata using tree alignment

Guangming Xing
{"title":"Approximate matching of XML documents with schemata using tree alignment","authors":"Guangming Xing","doi":"10.1145/2638404.2638517","DOIUrl":null,"url":null,"abstract":"Studying structural similarity between XML documents are important for many tasks like XML data classification and XML document management. In this paper, we formally introduce the edit distance between trees and tree grammars using tree alignments. A sketch of the proof for the correctness of the algorithm is presented followed by the analysis of the efficiency of the algorithm. Experiments are conducted to show the time efficiency and validness of the distance in the context of XML document clustering.","PeriodicalId":91384,"journal":{"name":"Proceedings of the 2014 ACM Southeast Regional Conference","volume":"63 2 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2014-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2014 ACM Southeast Regional Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2638404.2638517","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Studying structural similarity between XML documents are important for many tasks like XML data classification and XML document management. In this paper, we formally introduce the edit distance between trees and tree grammars using tree alignments. A sketch of the proof for the correctness of the algorithm is presented followed by the analysis of the efficiency of the algorithm. Experiments are conducted to show the time efficiency and validness of the distance in the context of XML document clustering.
使用树对齐对XML文档和模式进行近似匹配
研究XML文档之间的结构相似性对于XML数据分类和XML文档管理等任务非常重要。在本文中,我们正式引入了树与树语法之间的编辑距离。给出了算法正确性证明的概要,并对算法的效率进行了分析。通过实验验证了该方法在XML文档聚类中的时效性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信