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Contribution Details
| Type | Conference or Workshop Paper |
| Scope | Discipline-based scholarship |
| Published in Proceedings | Yes |
| Title | Database Technology for Processing Temporal Data (Invited Paper) |
| Organization Unit | |
| Authors |
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| Presentation Type | paper |
| Item Subtype | Original Work |
| Refereed | Yes |
| Status | Published in final form |
| Language |
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| Page Range | 2:1 - 2:7 |
| Event Title | 25th International Symposium on Temporal Representation and Reasoning, TIME 2018 |
| Event Type | other |
| Event Location | Warsaw, Poland |
| Event Start Date | October 15 - 2018 |
| Event End Date | October 17 - 2018 |
| Publisher | Leibniz-Zentrum für Informatik |
| Abstract Text | 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. |
| Other Identification Number | merlin-id:16907 |
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