An Analysis of a Methodology that Transforms the Entity-Relationship Model into a Conceptual Model for a Graph Database

The graph databases (GDB) have gained a lot of importance in the last years; this is due to the necessity to store and manage very large volumes of data whose natural structure is a graph. However, nowadays there do not exist conceptual models widely accepted to represent a GDB. This fact implies that the analysts are guided considering their experience and best practices. There have been proposed different conceptual models for GDB; in this paper, we analyze a methodology that generates a conceptual model for a GDB from the entity-relationship (E-R) model. We explore several limitations of this methodology and offer some ideas for solving them.