XML DATA SIMILARITY ANALYSIS: A LITERATURE REVIEW
Reginalda Santos Silva, ADRIANA MARIA DELGADO, RAFAEL NETO COSTA, Paulo Caetano da Silva · CONTECSI - International Conference on Information Systems and Technology Management · 2022
This study aimed to identify similarity analysis techniques between data and XML documents through a literature review.This work is important because it allows us to identify the state of the art on techniques for analyzing the similarity of data and XML documents.A literature review was carried out using a methodology based on research questions, search strings, sources of scientific articles in the field of computing.Twelve works were identified that present techniques, methodologies and algorithms for XML similarity analysis.Identification of 12 proposals for similarity analysis of data and XML documents.The identified techniques allow the comparative analysis of data expressed in different XML document structures.