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Managing Semantic Evolutions in Semi-Structured Data

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Autor(es):
Siqueira Nepomuceno, Pedro Ivo ; Braghetto, Kelly Rosa
Número total de Autores: 2
Tipo de documento: Artigo Científico
Fonte: DATABASE AND EXPERT SYSTEMS APPLICATIONS, DEXA 2023, PT I; v. 14146, p. 7-pg., 2023-01-01.
Resumo

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)

Processo FAPESP: 15/24485-9 - Internet do futuro aplicada a cidades inteligentes
Beneficiário:Fabio Kon
Modalidade de apoio: Auxílio à Pesquisa - Temático
Processo FAPESP: 14/50937-1 - INCT 2014: da Internet do Futuro
Beneficiário:Fabio Kon
Modalidade de apoio: Auxílio à Pesquisa - Temático