Handling complex and uncertain information in the ExIFO and NF2 data models
Trends in databases leading to complex objects present opportunities for representing imprecision and uncertainty that were difficult to integrate cohesively in simpler database models. In fact, one can begin at the conceptual level with a model that allows uncertainty assumptions and then transform those assumptions into a logical model having the necessary semantic foundations upon which to base a meaningful query language. Here we provide such a constructive approach beginning with the ExIFO model for expression of the conceptual design then show how the conceptual design is transformed into the logical design (which we utilize the extended NF2 logical database model). The steps are straightforward, unambiguous, and preserve the relevant information, including information concerning uncertainty.
data models conceptual modeling data management fuzzy sets uncertainty representation