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Managing Semantic Evolutions in Semi-Structured Data

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Author(s):
Siqueira Nepomuceno, Pedro Ivo ; Braghetto, Kelly Rosa
Total Authors: 2
Document type: Journal article
Source: DATABASE AND EXPERT SYSTEMS APPLICATIONS, DEXA 2023, PT I; v. 14146, p. 7-pg., 2023-01-01.
Abstract

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. (AU)

FAPESP's process: 15/24485-9 - Future internet for smart cities
Grantee:Fabio Kon
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 14/50937-1 - INCT 2014: on the Internet of the Future
Grantee:Fabio Kon
Support Opportunities: Research Projects - Thematic Grants