Database Technology for Processing Temporal Data

Michael Hanspeter Böhlen, Anton Dignös, Johann Gamper, Christian Søndergaard Jensen

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1 Citationer (Scopus)
19 Downloads (Pure)

Abstrakt

Despite the ubiquity of temporal data and considerable research on processing such data, database systems largely remain designed for processing the current state of some modeled reality. More recently, we have seen an increasing interest in processing historical or temporal data. The SQL:2011 standard introduced some temporal features, and commercial database management systems have started to offer temporal functionalities in a step-by-step manner. There has also been a proposal for a more fundamental and comprehensive solution for sequenced temporal queries, which allows a tight integration into relational database systems, thereby taking advantage of existing query optimization and evaluation technologies. New challenges for processing temporal data arise with multiple dimensions of time and the increasing amounts of data, including time series data that represent a special kind of temporal data.
OriginalsprogEngelsk
Titel25th International Symposium on Temporal Representation and Reasoning, TIME 2018
RedaktørerKjetil Norvag, Wojciech Penczek, Natasha Alechina
Antal sider7
Vol/bind120
ForlagSchloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH
Publikationsdato1 okt. 2018
Artikelnummer2
ISBN (Elektronisk)978-3-95977-089-7
DOI
StatusUdgivet - 1 okt. 2018
NavnLeibniz International Proceedings in Informatics
Vol/bind120
ISSN1868-8969

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  • Citationsformater

    Böhlen, M. H., Dignös, A., Gamper, J., & Jensen, C. S. (2018). Database Technology for Processing Temporal Data. I K. Norvag, W. Penczek, & N. Alechina (red.), 25th International Symposium on Temporal Representation and Reasoning, TIME 2018 (Bind 120). [2] Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH. Leibniz International Proceedings in Informatics, Bind. 120 https://doi.org/10.4230/LIPIcs.TIME.2018.2