Universal data model as a classification tool for solving research problems

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The article describes the concept of a universal data model for applications, which oriented to experts who are participating in scientific research. Definitions and examples of using mechanisms of typification and categorization as tools of internal and external classification based on internal and external properties of objects are given. It is supposed that the storage structure will not be strongly bound to any scientific domain, and it will be demanded in many projects connected to accumulation, the analysis and data processing. The proposed approach to the organization of storage system is based on the main principles, concepts and technologies used in the software design process. These include an analysis of the data domain and finding commonality and variability of criteria, which are a guarantee of a good abstraction technique, which is one of the basic tools for working with data.

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Universal data model, storage structure, the abstraction level, data typification, internal classification, data categorization, external classification

Короткий адрес: https://sciup.org/148204782

IDR: 148204782

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