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Conventional and Non-Conventional Data Modeling
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Author(s): Maria Salete Marcon Gomes Vaz (State University of Ponta Grossa, Brazil & Federal University of Parana, Brazil)and Lucélia de Souza (State University of West Center, Brazil & Federal University of Parana, Brazil)
Copyright: 2013
Pages: 18
Source title:
Enterprise Business Modeling, Optimization Techniques, and Flexible Information Systems
Source Author(s)/Editor(s): Petraq Papajorgji (Universiteti Europian i Tiranes, Albania), Alaine Margarete Guimarães (State University of Ponta Grossa, Brazil)and Mario R. Guarracino (Italian National Research Council, Italy)
DOI: 10.4018/978-1-4666-3946-1.ch011
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Abstract
The modeling of database applications involves deciding on how to represent the project in real-world objects. The data modeling process corresponds to a set of conceptual tools to describe data, its relationships, its semantics, and constraints of consistency. This process involves the steps related to the identification of requisites, conceptual modeling of data, conventional modeling, and non-conventional modeling of objects, and its relationships. In the conceptual modeling, where there is no need to specify the methods and data flow, objects and their relationships are defined. In conventional modeling, in the mapping of the conceptual model (Entity/Relationship) to the logical model (Relational) conversion rules are applied. However, there are non-conventional resources with the ability to create and use data types based on a grouping of other data types. The user-defined objects can be defined and used like any other data type. This chapter describes the process of mapping the relational model for the object-relational modeling, using a practical application in agricultural context, but it should be noted that the methodology is applicable to any area of knowledge.
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