Novosibirsk State University Journal of Information Technologies
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ISSN 2410-0420 (Online), ISSN 1818-7900 (Print)

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All Issues >> Contents: Volume 12, Issue No 1 (2014)

Semantic identification, configuration and entities types modeling for the data model engineering
Aleksandr Nikolayevich Rodionov

The configurator model for the entities type mapping into data model has been proposed. Such a model consists of the interdependent objects, each of which belongs to one of the next classes: Domain (D), Group (G), Pattern (P), Sample (S) or Instance (I). Each class is distinguished by the proper assignment and behavior which they demonstrate in a data model. The algorithm for the model instances synthesis has been designed. This algorithm uses the two-step generalization procedure for the deriving of G, S and I-structures and the additions to them in the form of the semantic domains and the optional P-objects which contain the preimages of the real entities.

Key Words
semantic identification, DPSI-method, entity-relationship method, functional dependences, relation, normalization, structural redundancy, complex primary key redundancy, inherency, generalization, cardinality

How to cite:
Rodionov A. N. Semantic identification, configuration and entities types modeling for the data model engineering // Vestnik NSU Series: Information Technologies. - 2014. - Volume 12, Issue No 1. - P. 64–78. - ISSN 1818-7900. (in Russian).

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Publication information
Main title Vestnik NSU Series: Information Technologies, Volume 12, Issue No 1 (2014).
Parallel title: Novosibirsk State University Journal of Information Technologies Volume 12, Issue No 1 (2014).

Key title: Vestnik Novosibirskogo gosudarstvennogo universiteta. Seriâ: Informacionnye tehnologii
Abbreviated key title: Vestn. Novosib. Gos. Univ., Ser.: Inf. Tehnol.
Variant title: Vestnik NGU. Seriâ: Informacionnye tehnologii

Year of Publication: 2014
ISSN: 1818-7900 (Print), ISSN 2410-0420 (Online)
Publisher: Novosibirsk State University Press
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