Research Article
An Analysis of a Methodology that Transforms the Entity-Relationship Model into a Conceptual Model for a Graph Database
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@INPROCEEDINGS{10.1007/978-3-319-95450-9_6, author={Fern\^{a}n Villa and Francisco Moreno and Jaime Guzm\^{a}n}, title={An Analysis of a Methodology that Transforms the Entity-Relationship Model into a Conceptual Model for a Graph Database}, proceedings={Emerging Technologies in Computing. First International Conference, iCETiC 2018, London, UK, August 23--24, 2018, Proceedings}, proceedings_a={ICETIC}, year={2018}, month={7}, keywords={Graph databases Entity-relationship model Conceptual models Model transformation}, doi={10.1007/978-3-319-95450-9_6} }- Fernán Villa
Francisco Moreno
Jaime Guzmán
Year: 2018
An Analysis of a Methodology that Transforms the Entity-Relationship Model into a Conceptual Model for a Graph Database
ICETIC
Springer
DOI: 10.1007/978-3-319-95450-9_6
Abstract
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.
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