Temporal databases has been an active research area since many decades, ranging from research work on query processing, most dominantly on selection and join queries, to new directions in models and semantics, such as for instance temporal probabilistic or streaming data. At the same time more database vendors have been integrating temporal features into their systems, most notably, the temporal features of the SQL standard. In this paper, we summarize the latest research developments as presented in 30 research papers over the last five years in the context of temporal relational databases. Additionally, we also describe the developments of industrial database systems and vendors.

What’s New in Temporal Databases?

Ceccarello M.;
2022

Abstract

Temporal databases has been an active research area since many decades, ranging from research work on query processing, most dominantly on selection and join queries, to new directions in models and semantics, such as for instance temporal probabilistic or streaming data. At the same time more database vendors have been integrating temporal features into their systems, most notably, the temporal features of the SQL standard. In this paper, we summarize the latest research developments as presented in 30 research papers over the last five years in the context of temporal relational databases. Additionally, we also describe the developments of industrial database systems and vendors.
2022
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
978-3-031-15739-4
978-3-031-15740-0
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3470332
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