TY - JOUR
T1 - Temporally oriented data definitions
T2 - Managing schema evolution in temporally oriented databases
AU - Ariav, Gad
PY - 1991/10
Y1 - 1991/10
N2 - 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.
AB - 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.
KW - Temporally oriented databases
KW - schema evolution
UR - http://www.scopus.com/inward/record.url?scp=0026242860&partnerID=8YFLogxK
U2 - 10.1016/0169-023X(91)90023-Q
DO - 10.1016/0169-023X(91)90023-Q
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AN - SCOPUS:0026242860
SN - 0169-023X
VL - 6
SP - 451
EP - 467
JO - Data and Knowledge Engineering
JF - Data and Knowledge Engineering
IS - 6
ER -