Combining Structure and Content Similaritiesmeasure for XML Document

ZHAO Ning-ning; LIANG Yi-wen

Chinese

您当前的位置：

首页 >

文章列表页 >

Combining Structure and Content Similaritiesmeasure for XML Document

更新时间：2026-09-04

- Combining Structure and Content Similaritiesmeasure for XML Document
- Vol. 33, Issue 4, Pages: 69-72(2016)
- 作者机构：
  
  武汉大学计算机学院,湖北,武汉,430072
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2016
- 稿件说明：
移动端阅览
赵宁宁, 梁意文. 综合结构和内容的XML文档相似度计算方法[J]. 微电子学与计算机, 2016, 33(4): 69-72, 76.

ZHAO Ning-ning, LIANG Yi-wen. Combining Structure and Content Similaritiesmeasure for XML Document[J]. 2016, 33(4): 69-72.
赵宁宁, 梁意文. 综合结构和内容的XML文档相似度计算方法[J]. 微电子学与计算机, 2016, 33(4): 69-72, 76. DOI：

ZHAO Ning-ning, LIANG Yi-wen. Combining Structure and Content Similaritiesmeasure for XML Document[J]. 2016, 33(4): 69-72. DOI：

摘要

提出了一种综合考虑XML文档内容和结构信息的文档相似度计算方法.通过使用不同的方法分别计算文档内容信息相似度和结构信息相似度

然后赋予二者不同的权重将二者综合起来

得到文档的综合相似度.在真实数据集上的实验结果表明

综合结构和内容信息的方法能够提高计算XML文档相似度的准确性.

Abstract

This paper proposed a document similarity calculation method considering the XML document content and structure information in this paper. Different methods was used to calculate the document content similarity and structural information

and different emphasis was laied on them.Then the comprehensive similarity of the document can be attained. Experimental results on real data sets show that the method integrated structure and content information can improve the accuracy of calculation of XML documents similarity.

关键词

Keywords

references

Salton G, Wong A, Yang C S. A vector space model for automatic indexing[J]. Communications of the ACM, 1975, 18(11): 613-620. DOI: 613

Yoon J P, Raghavan V, Chakilam V. BitCube: A three-dimensional bitmap indexing for XML documents[C]//Scientific and Statistical Database Management, 2001. Fairfax: IEEE, 2001: 158-167.

Algergawy A, Mesiti M, Nayak R, et al. XML data clustering: An overview[J]. ACM Computing Surveys (CSUR), 2011, 43(4): 25. DOI: 25

Kurt A, Tozal E. Classification of xslt-generated web documents with support vector machines[M]//Knowledge Discovery from XML Documents. Berlin, Heidelberg: Springer, 2006: 33-42.

Hossain M S, Angryk R A. Gdclust: A graph-based document clustering technique[C]//Data Mining Workshops, 2007. Omaha: IEEE, 2007: 417-422.

Salton G, Buckley C. Term-weighting approaches in automatic text retrieval[J]. Information processing % management, 1988, 24(5): 513-523. DOI: 513

Brzezinski D, Piernik M. Adaptive XML stream classification using partial tree-edit distance[M]//Foundations of Intelligent Systems. Berlin: Springer International Publishing, 2014: 10-19.

Yang J, Cheung W K, Chen X. Learning element similarity matrix for semi-structured document analysis[J]. Knowledge and Information Systems, 2009, 19(1): 53-78. DOI: 53

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Aerial small object detection algorithm based on improved RT-DETR

Microservices anomaly detection based on the correlation of monitoring metrics

A feature-oriented context understanding and slice analysis network for tuberculosis detection

Aerial vehicle detection algorithm based on multi-scale fusion and small-object enhancement

A review of large model development: technological evolution from BERT to Deepseek

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