License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.TIME.2018.2
URN: urn:nbn:de:0030-drops-97674
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2018/9767/
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Böhlen, Michael H. ; Dignös, Anton ; Gamper, Johann ; Jensen, Christian S.

Database Technology for Processing Temporal Data (Invited Paper)

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LIPIcs-TIME-2018-2.pdf (0.3 MB)

Abstract

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.

BibTeX - Entry

@InProceedings{bhlen_et_al:LIPIcs:2018:9767,
  author =	{Michael H. B{\"o}hlen and Anton Dign{\"o}s and Johann Gamper and Christian S. Jensen},
  title =	{{Database Technology for Processing Temporal Data (Invited Paper)}},
  booktitle =	{25th International Symposium on Temporal Representation  and Reasoning (TIME 2018)},
  pages =	{2:1--2:7},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-089-7},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{120},
  editor =	{Natasha Alechina and Kjetil N{\o}rv{\aa}g and Wojciech Penczek},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2018/9767},
  URN =		{urn:nbn:de:0030-drops-97674},
  doi =		{10.4230/LIPIcs.TIME.2018.2},
  annote =	{Keywords: Temporal databases, temporal query processing, sequenced semantics, SQL}
}

Keywords: Temporal databases, temporal query processing, sequenced semantics, SQL
Collection: 25th International Symposium on Temporal Representation and Reasoning (TIME 2018)
Issue Date: 2018
Date of publication: 08.10.2018

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