JOURNAL ARTICLE

ON TEMPORAL DEDUCTIVE DATABASES

Mehmet A. Orgun

Year: 1996 Journal:   Computational Intelligence Vol: 12 (2)Pages: 235-259   Publisher: Wiley

Abstract

This article introduces a temporal deductive database system featuring a logic programming language and an algebraic front‐end. The language, called Temporal DATALOG, is an extension of DATALOG based on a linear‐time temporal logic in which the flow of time is modeled by the set of natural numbers. Programs of Temporal DATALOG are considered as temporal deductive databases, specifying temporal relationships among data and providing base relations to the algebraic front‐end. The minimum model of a given Temporal DATALOG program is regarded as the temporal database the program models intensionally. The algebraic front‐end, called TRA, is a point‐wise extension of the relational algebra upon the set of natural numbers. When needed during the evaluation of TRA expressions, slices of temporal relations over intervals can be retrieved from a given temporal deductive database by bottom‐up evaluation strategies. A modular extension of Temporal DATALOG is also proposed, through which temporal relations created during the evaluation of TRA expressions may be fed back to the deductive part for further manipulation. Modules therefore enable the algebra to have full access to the deductive capabilities of Temporal DATALOG and to extend it with nonstandard algebraic operators. This article also shows that the temporal operators of TRA can be simulated in Temporal DATALOG by program clauses.

Keywords:
Datalog Deductive database Computer science Temporal database Programming language Temporal logic Extension (predicate logic) Relational algebra Set (abstract data type) Relational database Linear temporal logic Database Theoretical computer science

Metrics

26
Cited By
3.94
FWCI (Field Weighted Citation Impact)
48
Refs
0.93
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Advanced Database Systems and Queries
Physical Sciences →  Computer Science →  Computer Networks and Communications
Logic, Reasoning, and Knowledge
Physical Sciences →  Computer Science →  Artificial Intelligence
Semantic Web and Ontologies
Physical Sciences →  Computer Science →  Artificial Intelligence

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