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Evaluating a Temporal Relational Algebra Supporting Preferences in Temporal Relational Databases

Contributo in Atti di convegno
Data di Pubblicazione:
2024
Abstract:
Though a plethora of different approaches have been devoted to the treatment of time within the relational context, temporal preferences have not been faced yet. In several tasks and applications (e.g., planning, scheduling, workflows, guidelines), the exact time of occurrence of facts is not known (i.e., time is indeterminate), and preferences can be assigned to the different temporal possibilities. In a recent paper, we have laid the theoretical basis of the treatment of preferential indeterminate time in temporal relational databases, by proposing a relational representation and a temporal relational algebra to manage it, and studying their theoretical properties (e.g., correctness, reducibility). In this paper, we assess such a theoretical framework in terms of performance evaluation along different dimensions, and study the overhead added to cope with preferences with respect to relational approaches (i) without time, (ii) with exact time, and (iii) with indeterminate time (but no preferences).
Tipologia CRIS:
04A-Conference paper in volume
Keywords:
Performance Evaluation, Temporal relational databases, Temporal relational algebra, Temporal indeterminacy, Preferences
Elenco autori:
Anselma, Luca; Coviello, Antonella; Terenziani, Paolo
Autori di Ateneo:
ANSELMA Luca
Link alla scheda completa:
https://iris.unito.it/handle/2318/2010000
Titolo del libro:
Advances in Databases and Information Systems. ADBIS 2024.
Pubblicato in:
LECTURE NOTES IN COMPUTER SCIENCE
Journal
LECTURE NOTES IN COMPUTER SCIENCE
Series
  • Dati Generali
  • Aree Di Ricerca

Dati Generali

URL

https://link.springer.com/chapter/10.1007/978-3-031-70626-4_3

Aree Di Ricerca

Settori (5)


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