Urban, Matthias ; Binnig, Carsten
Hybrid Database Operations: Learned Operations for Seamless Querying of Textual and Tabular Data.
In: CEUR workshop proceedings, 3341
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
Many real-world applications in medicine, finance or other domains need to combine tabular and textual data. In this paper, we present a new approach called hybrid database operations which is a new class of learned database operations that allows users to seamlessly execute SQL queries over text and tabular data. As a main contribution to enable hybrid database operations, we show how state-of-the-art pre-trained language models such as BERT can be used to implement hybrid database operations such as joins or unions. In our initial evaluation, we report first promising results on real-world data sets which indicate that highly accurate hybrid operations can be realized with minimal training overhead.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2022 |
| Herausgeber: | Reuss, Pascal ; Eisenstadt, Viktor ; Sch\"nborn, Jakob Michael ; Sch\"fer, Jero |
| Autor(en): | Urban, Matthias ; Binnig, Carsten |
| Art des Eintrags: | Bibliographie |
| Titel: | Hybrid Database Operations: Learned Operations for Seamless Querying of Textual and Tabular Data |
| Sprache: | Englisch |
| Publikationsjahr: | Oktober 2022 |
| Verlag: | CEUR-WS |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | CEUR workshop proceedings |
| Jahrgang/Volume einer Zeitschrift: | 3341 |
| URL / URN: | https://ceur-ws.org/Vol-3341/ |
| Kurzbeschreibung (Abstract): | Many real-world applications in medicine, finance or other domains need to combine tabular and textual data. In this paper, we present a new approach called hybrid database operations which is a new class of learned database operations that allows users to seamlessly execute SQL queries over text and tabular data. As a main contribution to enable hybrid database operations, we show how state-of-the-art pre-trained language models such as BERT can be used to implement hybrid database operations such as joins or unions. In our initial evaluation, we report first promising results on real-world data sets which indicate that highly accurate hybrid operations can be realized with minimal training overhead. |
| Freie Schlagworte: | systems_aico |
| Zusätzliche Informationen: | LWDA 2022: Lernen, Wissen, Daten, Analysen 2022: Proceedings of the LWDA 2022 Workshops: FGWM, FGKD, and FGDB, Hildesheim (Germany), 05.-07.10.2022 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Data and AI Systems |
| Hinterlegungsdatum: | 12 Jun 2023 12:50 |
| Letzte Änderung: | 09 Aug 2023 14:48 |
| PPN: | 510473210 |
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| Suche nach Titel in: | TUfind oder in Google |
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