Scholarly record

THE METHOD OF ONTOLOGY-DRIVEN DATA MODELING AS A SENSE SPACE OF DOMAIN

Sergey Kucherov, Yury Rogozov, Alexander Belikov

Abstract

Specific models and storage technologies which is possible to save domain semantics are required to create configurable information systems. This is why modern researchers talk about the high cost of domain models in comparison with a program code. But they don't suggest any approaches for including this model as a component of the system itself. Existing approaches for domain modeling during the transition to final stages of a system life cycle tend to lose the semantic component of the data. They only allow to put in a system only a structure for the factual representation of data values. The context in which data should be considered and the acceptable algorithms for processing them remain outside the system. The developer determines them at the stage of creating executable files. As a result, the student from the point of view of the access system and the student from the point of view of the dean's office - two different data objects in the information system. On the contrary, there are only one such data object as a student when we considering the domain. It only can change its meaning depending on the context. To avoid the separation of the same data object into separate parts corresponding to individual contexts, a new data model is required. The authors propose to consider the subject area as a certain semantic space in the form specific ontology of actions to create data objects and actions that connect data objects to each other. The first kind of action will ensure the variability of the database. Having the ability to control the procedure of creating a data object, we can change it depending on the context and requirements. The second kind of action will ensure the saving of semantics, because in the real world, data objects can not be separated from the context of their use. The paper proposes the method of ontological-driven data modeling in the form of actions. The totality of such actions represents the semantic space of the subject domain associated with the production and processing of data.

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DOI resolver: doi.org/10.5593/sgem2017/21/s07.085

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