A Process-Oriented Scientific Database model

  • J. Michael Pratt
  • , Maxine S. Cohen

Research output: Contribution to journalArticlepeer-review

Abstract

A database model is proposed for organizing data that describes natural processes studied experimentally. Adapting concepts from object-oriented and temporal databases, this process-oriented scientific database model (POSDBM) identifies two data object types (independent and dependent variables) and two types of relationships (becomes-a and affects-a) between data objects. Successive versions of dependent variable objects are associated by the becomes-a relationship, while independent and dependent variable objects are associated by the affects-a relationship. Thus, a process can be viewed as a sequence of states (versions) of a dependent variable object whose attributes are affected over time by independent variable objects.

Original languageAmerican English
JournalSIGMOD
Volume21
DOIs
StatePublished - Jan 1 1992

Keywords

  • Database management
  • information systems

Disciplines

  • Computer Sciences

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