DocumentCode :
1160277
Title :
Symbolic user-defined periodicity in temporal relational databases
Author :
Terenziani, Paolo
Author_Institution :
Dipt. Informatica, Universita del Piemonte Orientale, Alessandria, Italy
Volume :
15
Issue :
2
fYear :
2003
Firstpage :
489
Lastpage :
509
Abstract :
Calendars and periodicity play a fundamental role in many applications. Recently, some commercial databases started to support user-defined periodicity in the queries in order to provide "a human-friendly way of handling time" (see, e.g., TimeSeries in Oracle 8). On the other hand, only few relational data models support user-defined periodicity in the data, mostly using "mathematical" expressions to represent periodicity. In this paper, we propose a high-level "symbolic" language for representing user-defined periodicity which seems to us more human-oriented than mathematical ones, and we use the domain of Gadia\´s temporal elements in order to define its properties and its extensional semantics. We then propose a temporal relational model which supports user-defined "symbolic" periodicity (e.g., to express "on the second Monday of each month") in the validity time of tuples and also copes with frame times (e.g., "from 1/1/98 to 28/2/98"). We define the temporal counterpart of the standard operators of the relational algebra, and we introduce new temporal operators and functions. We also prove that our temporal algebra is a consistent extension of the classical (atemporal) one. Moreover, we define both a fully symbolic evaluation method for the operators on the periodicities in the validity times of tuples, which is correct but not complete, and semisymbolic one, which is correct and complete, and study their computational complexity.
Keywords :
computational complexity; relational algebra; relational databases; temporal databases; computational complexity; relational algebra; relational data models; relational model; temporal algebra; temporal relational databases; tuples; Algebra; Artificial intelligence; Calendars; Clocks; Computational complexity; Data models; Multimedia databases; Process control; Process planning; Relational databases;
fLanguage :
English
Journal_Title :
Knowledge and Data Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1041-4347
Type :
jour
DOI :
10.1109/TKDE.2003.1185847
Filename :
1185847
Link To Document :
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