Mirabi, Meghdad ; Fathi, Leila ; Dignös, Anton ; Gamper, Johann ; Binnig, Carsten (2023)
A New Primitive for Processing Temporal Joins.
18th International Symposium on Spatial and Temporal Data. Calgary, Canada (23.-25.08.2023)
doi: 10.1145/3609956.3609968
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
This paper presents the extended temporal aligner as a temporal primitive, and proposes a set of reduction rules that employ this primitive to convert a temporal join operator to its non-temporal equivalent. The rules cover all types of temporal joins, including inner join, outer joins, and anti-join. Preliminary experimental results demonstrate that the integration of the extended temporal aligner and the reduction rules can efficiently process temporal join queries.
Typ des Eintrags: | Konferenzveröffentlichung |
---|---|
Erschienen: | 2023 |
Autor(en): | Mirabi, Meghdad ; Fathi, Leila ; Dignös, Anton ; Gamper, Johann ; Binnig, Carsten |
Art des Eintrags: | Bibliographie |
Titel: | A New Primitive for Processing Temporal Joins |
Sprache: | Englisch |
Publikationsjahr: | 24 August 2023 |
Verlag: | ACM |
Buchtitel: | SSTD'23: Proceedings of the 18th International Symposium on Spatial and Temporal Data |
Veranstaltungstitel: | 18th International Symposium on Spatial and Temporal Data |
Veranstaltungsort: | Calgary, Canada |
Veranstaltungsdatum: | 23.-25.08.2023 |
DOI: | 10.1145/3609956.3609968 |
Kurzbeschreibung (Abstract): | This paper presents the extended temporal aligner as a temporal primitive, and proposes a set of reduction rules that employ this primitive to convert a temporal join operator to its non-temporal equivalent. The rules cover all types of temporal joins, including inner join, outer joins, and anti-join. Preliminary experimental results demonstrate that the integration of the extended temporal aligner and the reduction rules can efficiently process temporal join queries. |
Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Data and AI Systems |
Hinterlegungsdatum: | 03 Apr 2024 13:21 |
Letzte Änderung: | 30 Jul 2024 11:08 |
PPN: | 520218507 |
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