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Abstract data types (ADT) were introduced as a way to circumvent the lack of modeling power inherent in the basic relational database model of a nonstandard database application.
This chapter introduces the basic concepts of the relational database model, which is the foundation of modern database-management systems.
Normalization is the sequence of steps by which a relational database model is both created and improved upon.
In particular, data from the traditional relational database model can be transformed to a format which is acceptable in a knowledge base system.
Application of the relational database model to a data set involves the removal of duplication, which is performed using a process called normalization.
This paper introduces a dynamic data interchange scheme which attempts to exchange the data automatically as well as enables the filtering of valuable data between traditional relational database model and case-based reasoning knowledge repository.
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Relational database modeling eliminates what are called anomalies from occurring in a database.
Although the Object Management Group (OMG) has released several UML Profiles to tailor the language to specific areas, relational database modeling is not fully addressed in these profiles.
In the early 1970s, conventional database management systems were challenged by relational database models.
Research work is indeed being carried out at the Technical University of Munich and by the 3DCityDB development team to extend to 3DCityDB and the accompanying software tools to deal with any ADE and to automatically perform the mapping between the object-oriented model and the relational-database model, in order to derive database schemas "on the fly".
Finally, the query processor lazily evaluates the result, using an appropriate adaptation of relational database iterator models to XML.
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relational analysis model
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