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Database Technology for Processing Temporal Data (Invited Paper)


Böhlen, Michael Hanspeter; Dignös, Anton; Gamper, Johann; Jensen, Christian (2018). Database Technology for Processing Temporal Data (Invited Paper). In: 25th International Symposium on Temporal Representation and Reasoning, TIME 2018, Warsaw, Poland, 15 October 2018 - 17 October 2018, 2:1-2:7.

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.

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.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Language:English
Event End Date:17 October 2018
Deposited On:11 Jan 2019 13:42
Last Modified:25 Sep 2019 00:03
Publisher:Leibniz-Zentrum für Informatik
OA Status:Green
Other Identification Number:merlin-id:16907

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