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A complete temporal relational algebra
- Source :
- The VLDB Journal The International Journal on Very Large Data Bases. 5:167-180
- Publication Year :
- 1996
- Publisher :
- Springer Science and Business Media LLC, 1996.
-
Abstract
- Various temporal extensions to the relational model have been proposed. All of these, however, deviate significantly from the original relational model. This paper presents a temporal extension of the relational algebra that is not significantly different from the original relational model, yet is at least as expressive as any of the previous approaches. This algebra employs multidimensional tuple time-stamping to capture the complete temporal behavior of data. The basic relational operations are redefined as consistent extensions of the existing operations in a manner that preserves the basic algebraic equivalences of the snapshot (i.e., conventional static) algebra. A new operation, namely temporal projection, is introduced. The complete update semantics are formally specified and aggregate functions are defined. The algebra is closed, and reduces to the snapshot algebra. It is also shown to be at least as expressive as the calculus-based temporal query language TQuel. In order to assess the algebra, it is evaluated using a set of twenty-six criteria proposed in the literature, and compared to existing temporal relational algebras. The proposed algebra appears to satisfy more criteria than any other existing algebra.
- Subjects :
- Tuple relational calculus
Theoretical computer science
Computer science
Relational database
Two-element Boolean algebra
Relational algebra
Query language
Term algebra
Nested set model
Temporal database
Relational Model/Tasmania
Relational calculus
Hardware and Architecture
Codd's theorem
ComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATION
Relational model
Conjunctive query
Tuple
Domain relational calculus
Information Systems
Subjects
Details
- ISSN :
- 0949877X and 10668888
- Volume :
- 5
- Database :
- OpenAIRE
- Journal :
- The VLDB Journal The International Journal on Very Large Data Bases
- Accession number :
- edsair.doi...........9c759138b5b7a59734b3424f267b87e6
- Full Text :
- https://doi.org/10.1007/s007780050022