A temporally oriented data model
ACM Transactions on Database Systems (TODS)
Adding time dimension to relational model and extending relational algebra
Information Systems
A homogeneous relational model and query languages for temporal databases
ACM Transactions on Database Systems (TODS)
Defining data types in a database language
ACM SIGMOD Record
Extending relational algebra to manipulate temporal data
Information Systems
Algebra and query language for a historical data model
The Computer Journal - Special issue on databases
Temporal databases status and research directions
ACM SIGMOD Record - Directions for future database research & development
DBMS support for time and totally ordered compound data types
Information Systems
On an algebra for historical relational databases: two views
SIGMOD '85 Proceedings of the 1985 ACM SIGMOD international conference on Management of data
Time concept in generalized data bases: TIGRE project
ACM '85 Proceedings of the 1985 ACM annual conference on The range of computing : mid-80's perspective: mid-80's perspective
An Extension of the Relational Model to Support Generic Intervals
EDBT '88 Proceedings of the International Conference on Extending Database Technology: Advances in Database Technology
The Historical Relational Data Model (HRDM) and Algebra Based on Lifespans
Proceedings of the Third International Conference on Data Engineering
Temporal granularity for unanchored temporal data
Proceedings of the seventh international conference on Information and knowledge management
Temporal Granularity: Completing the Puzzle
Journal of Intelligent Information Systems
An Algebraic Representation of Calendars
Annals of Mathematics and Artificial Intelligence
SQL Extension for Interval Data
IEEE Transactions on Knowledge and Data Engineering
Efficiently Supporting Temporal Granularities
IEEE Transactions on Knowledge and Data Engineering
Temporal coalescing with now granularity, and incomplete information
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
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In commercial DBMSs, it is possible to model only primitive numeric data types and perform arithmetic between them. In practice, however, organizations need to store and manipulate more complex numeric elements that could be interpreted as representing quantities of a non-numeric measurement system like that in which a distance is expressed in feet and inches, or like that in which a weight is expressed in quarters, stones, pounds, and ounces. This implies that users have to choose between two options, either to abandon the nonmetric system and completely adapt their applications to the limited capabilities of the DBMS, or to write their own pieces of code for the management of such more complex numeric data types. The first approach is principally unacceptable, and at the same time, there is a loss in the precision of arithmetic operations, because quantities have to be expressed as real numbers. The second one is tedious, because distinct pieces of code have to be written for handling different nonmetric units. Furthermore, integrity checking for these pieces of data has to be performed by application programs rather than by the DBMS. To overcome these problems, a new generic data type is proposed, the composite number, whose support automatically enables the use of any nonmetric measurement system. Functions and operations are defined for the management of composites. Because, in practice, time is usually expressed in many distinct nonmetric measurement units whose choice depends on the particular application, temporal databases represent one of the many application areas of the proposed formalization.