Semantics of time-varying attributes and their use for temporal database design

Christian S. Jensen, Richard T. Snodgrass

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Based on a systematic study of the semantics of temporal attributes of entities, this paper provides new guidelines for the design of temporal relational databases. The notions of observation and update patterns of an attribute capture when the attribute changes value and when the changes are recorded in the database. A lifespan describes when an attribute has a value. And derivation functions describe how the values of an attribute for all times within its lifespan axe computed from stored values. The implications for temporal database design of the semantics that may be captured using these concepts are formulated as schema decomposition rules.

Original languageEnglish (US)
Title of host publicationOOER 1995
Subtitle of host publicationObject-Oriented and Entity-Relationship Modeling - 14th International Conference, Proceedings
EditorsMichael P. Papazoglou
PublisherSpringer-Verlag
Pages366-377
Number of pages12
ISBN (Print)3540606726, 9783540606727
DOIs
StatePublished - 1995
Event14th International Conference on Object-Oriented Entity-Relationship, OOER 1995 - Gold Coast, Australia
Duration: Dec 13 1995Dec 15 1995

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1021
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other14th International Conference on Object-Oriented Entity-Relationship, OOER 1995
CountryAustralia
CityGold Coast
Period12/13/9512/15/95

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Jensen, C. S., & Snodgrass, R. T. (1995). Semantics of time-varying attributes and their use for temporal database design. In M. P. Papazoglou (Ed.), OOER 1995: Object-Oriented and Entity-Relationship Modeling - 14th International Conference, Proceedings (pp. 366-377). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1021). Springer-Verlag. https://doi.org/10.1007/bfb0020547