The objective of this paper is to present the first results concerning the mapping and implementation of the Fuzzy Semantic Model (FSM) as a Fuzzy Object-Relational database Model (FuzzORM). This ...

The object-relational data model is suitable for complex and heterogeneous spatial data, and allows for flexible and extensible data modeling, manipulation, and analysis.

In this article we present a mathematical data model for the most common noSQL databases—namely, key/value relationships—and demonstrate that this data model is the mathematical dual of SQL’s ...

1. Improved data modeling – Users can use object orientation to model their data and create more realistic representations of their data. 2. Greater flexibility – With the inclusion of object-oriented ...

While object concepts are very much in evidence in the design phases, the solutions used for data storage remain predominantly relational. The problem of transposing applications designed with an ...

Advantages and benefits of object-relational mapping. ORM hides and encapsulates changes in the data source, so that when data sources or their APIs change, only ORM needs to change to preserve the ...

Building the Object Model You Want with Entity Framework. When it comes to inheritance, relational database theory and object-oriented programming have more in common than you might think.

Database tables can be created from or mapped to any Java class without the need for inheritance or interface implementation. By simply decorating your classes properties with a few key annotations ...