Modeling is one of the most important steps in develo** a database. In traditional
databases, the Entity Relationship (ER) and Unified Modeling Language (UML) models are …

Over the last decade, a range of new database solutions and technologies have emerged, in
line with the new types of applications and requirements that they facilitate. Consequently …

Most of the current graph database systems have been designed to support property graphs.
Surprisingly, there is no standard specification of the database model behind such systems …

One thing that is still being developed for graph databases is integrity constraint (IC) support.
One possibility to IC proposal is to consider a graph conceptual schema and a graph …

In healthcare applications, develo** a data model for storing patient–doctor relationships
is important. Though relational models are popular for many commercial and business …

Graph databases are nowadays considered the most appropriate solution for highly
connected domains. Nevertheless, the lack of a fixed schema perplexes the implementation …

The variety of data is one of the most challenging issues for the research and practice in
data management. The so-called multi-model data are naturally organized in different, but …

The research and technological area of data management encompasses various concepts,
techniques, algorithms and technologies, including data modeling, data integration and …

In recent years, new data characteristics led to the development of new database
management systems named NoSQL. As opposed to the mature Relational databases …

The incorporation of heterogeneous data models into large-scale e-commerce applications
incurs various complexities and overheads, such as redundancy of data, maintenance of …