Temporally oriented data definitions: Managing schema evolution in temporally oriented databases

Gad Ariav*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

A simplifying - yet unrealistic - assumption widely held throughout the research of Temporally Oriented Data Models (TODM) is that the associated schema never changes. The implications of allowing data structures to evolve over time within a TODM and related databases are examined in this paper, and key issues and concepts are identified. Specifically, Temporally Oriented Data Definition (TODD) raises questions with respect to (1) the evolution of meanings in databases, (2) the nature of the temporal prevalence of database schema, and (3) the general principles that may guide the implementation of a TODM database with TODD.

Original languageEnglish
Pages (from-to)451-467
Number of pages17
JournalData and Knowledge Engineering
Volume6
Issue number6
DOIs
StatePublished - Oct 1991

Keywords

  • Temporally oriented databases
  • schema evolution

Fingerprint

Dive into the research topics of 'Temporally oriented data definitions: Managing schema evolution in temporally oriented databases'. Together they form a unique fingerprint.

Cite this