Data model issues for object-oriented applications
ACM Transactions on Information Systems (TOIS)
Relational database design using an object-oriented methodology
Communications of the ACM
An object-oriented data model for database modelling, implementation and access
The Computer Journal
Mapping and interpreting biological information
Communications of the ACM
Generalized Version Control in an Object-Oriented Database
Proceedings of the Fourth International Conference on Data Engineering
Characteristics of Scientific Databases
VLDB '84 Proceedings of the 10th International Conference on Very Large Data Bases
VLDB '86 Proceedings of the 12th International Conference on Very Large Data Bases
Managing Change in a Computer-Aided Design Database
VLDB '87 Proceedings of the 13th International Conference on Very Large Data Bases
Data modeling of scientific experimentation
SAC '95 Proceedings of the 1995 ACM symposium on Applied computing
A Unified Data Model for Representing Multimedia, Timeline, and Simulation Data
IEEE Transactions on Knowledge and Data Engineering
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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.