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Type | Book Chapter |
Scope | Discipline-based scholarship |
Title | SQL-Based Temporal Query Languages |
Organization Unit | |
Authors |
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Editors |
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Item Subtype | Original Work |
Refereed | Yes |
Status | Published in final form |
Language |
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Booktitle | Encyclopedia of Database Systems, Second Edition |
ISBN | 978-1-4614-8266-6 |
Place of Publication | New York, NY, USA |
Publisher | Springer |
Page Range | 55 |
Date | 2018 |
Abstract Text | More than two dozen extensions to the relational data model have been proposed that support the storage and retrieval of time-referenced data. These models timestamp tuples or attribute values, and the timestamps used include time points, time periods, and finite unions of time periods, termed temporal elements. A temporal query language is defined in the context of a specific data model. Most notably, it supports the specification of queries on the specific form of time-referenced data provided by its data model. More generally, it enables the management of time-referenced data. Different approaches to the design of a temporal extension to the Structured Query Language (SQL) have emerged that yield temporal query languages with quite different design properties. |
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