Managing Semantic Evolutions in Semi-Structured Data

被引：0

作者：

Siqueira Nepomuceno, Pedro Ivo ^{[1
]}

Braghetto, Kelly Rosa ^{[1
]}

机构：

[1] Univ Sao Paulo, Dept Comp Sci, Sao Paulo, Brazil

来源：

DATABASE AND EXPERT SYSTEMS APPLICATIONS, DEXA 2023, PT I | 2023年 / 14146卷

基金：

巴西圣保罗研究基金会;

关键词：

Databases; Semantic heterogeneity; Query Rewriting;

D O I：

10.1007/978-3-031-39847-6_12

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

This paper introduces a model to store semi-structured data while documenting its semantic changes over time. The paper also presents algorithms for querying semantic evolved data, which conciliate the multiple versions the data may have. An implementation of the model and algorithms, MellowDB, was developed, and its performance was analyzed, showing the proposed algorithms and model are feasible.

引用

页码：179 / 185

页数：7

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