Temporal relational algebras supporting preferences in temporal relational databases: Definition, properties and evaluation

Luca Anselma, Antonella Coviello, Davide Cerotti, Erica Raina, Paolo TERENZIANI

Risultato della ricerca: Contributo su rivistaArticolo in rivistapeer review

Abstract

Despite numerous approaches address the treatment of time within relational contexts, temporal preferences remain unexplored. Many tasks and applications, such as planning, scheduling, workflows, and guidelines, involve scenarios where the exact timing of events is not known — referred to as indeterminate time. In such cases, preferences can be assigned to different possible temporal outcomes. In a recent study, we established the theoretical foundation for handling preferential indeterminate time in temporal relational databases. This includes proposing a temporal relational representation and a corresponding temporal relational algebra, along with an analysis of their theoretical properties, such as correctness and reducibility. The contributions of this paper are twofold. First, we extend the above theoretical framework to deal with a more expressive representation of temporal preferences. Second, we assess both theoretical frameworks in terms of performance evaluation along different dimensions, and study the overhead added to cope with preferences with respect to relational approaches without time, with exact time, and with indeterminate time but no preferences.
Lingua originaleInglese
pagine (da-a)1-19
Numero di pagine19
RivistaInformation Systems
Volume135
DOI
Stato di pubblicazionePubblicato - 2026

Keywords

  • Preferences
  • Temporal indeterminacy
  • Temporal relational algebra
  • Temporal relational databases

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