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*'''Description''' | *'''Description''' | ||
:The development and the exploitation of data models are at the baseline of the database engineeering domain. They allow database structures to be described at the appropriate level of abstraction, so that one can rigourously evaluate and transform schemas and reason about them. They are at the core of design methodologies and CASE tools. The <b>conceptual models</b>, such as the Entity-relationship model and some interpretation of UML class diagrams are aimed at describing data/information structures at the conceptual, technology-independent level, while the many <b>logical models</b> currently available are intended to represent data structures as they are implemented by data managers (or by families thereof). | :The development and the exploitation of data models are at the baseline of the database engineeering domain. They allow database structures to be described at the appropriate level of abstraction, so that one can rigourously evaluate and transform schemas and reason about them. They are at the core of design methodologies and CASE tools. The <b>conceptual models</b>, such as the Entity-relationship model and some interpretation of UML class diagrams are aimed at describing data/information structures at the conceptual, technology-independent level, while the many <b>logical models</b> currently available are intended to represent data structures as they are implemented by data managers (or by families thereof). | ||
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− | : | + | :Several data models have been designed and implemented: the SPHINX data models, the Individual model (Merise), the GAM (Generalized Access Model), the GER (Generic Entity-relationship) model, the DB-MAIN model and the temporal ER model. |
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*'''Keywords''' | *'''Keywords''' | ||
:ER model, Invidual model, wide-spectrum model, GER model, logical data model, temporal model, network model, hierarchical model, OO model, large schema layout, semantic and statistical aspects of models, IS-A relations | :ER model, Invidual model, wide-spectrum model, GER model, logical data model, temporal model, network model, hierarchical model, OO model, large schema layout, semantic and statistical aspects of models, IS-A relations |
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