Semantic Similarity of XML Documents Based on Structural and Content Analysis-Reference-Cited by-同舟云学术

Semantic Similarity of XML Documents Based on Structural and Content Analysis

Published:2020-11-17 Issue: Volume: Page:
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Container-title:Proceedings of the 2020 4th International Symposium on Computer Science and Intelligent Control
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Author:

Dongo Irvin¹,Ticona-Herrera Regina²,Cadinale Yudith³,Guzmán Renato⁴

Affiliation:

1. Electrical and Electronics Engineering Department, Universidad Católica San Pablo, Arequipa, Perú, Univ. Bordeaux, ESTIA INSTITUTE OF TECHNOLOGY, Bidart, France

2. Universidad Católica San Pablo, Arequipa, Perú Univ. Bordeaux, ESTIA INSTITUTE OF TECHNOLOGY, Bidart, France

3. Electrical and Electronics Engineering Department, Universidad Católica San Pablo, Arequipa, Perú, Universidad Simón Bolívar, Caracas, Venezuela

4. Universidad Católica San Pablo, Arequipa, Perú

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3440084.3441185

Reference37 articles.

1. XML data clustering

2. Tag Name Structure-based Clustering of XML Documents

3. THE XML AND SEMANTIC WEB: A SYSTEMATIC REVIEW ON TECHNOLOGIES

4. SemSynX: Flexible Similarity Analysis of XML Data via Semantic and Syntactic Heterogeneity/Homogeneity Detection

5. XEdge

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