TY - JOUR TI -
Construction of a set of harmonized data models in distributed databases based on semantics
T2 - IS - KW - distributed databases KW - information systems KW - data modeling KW - data model core AB - Ainura T. Kasymalieva - Associate Professor, Department of Information Systems in Economics, Kyrgyz State Technical University named after I. RazzakovAddress: 66, Prospect Mira, Bishkek, 720044, Kyrgyz RepublicE-mail: aisu@rambler.ru When developing projects of integrated enterprise systems with focus on further expansion of functions, it is necessary to remember about continuity of models created and the timeliness of updating them. These refinements relate to the future development of organizations or their units involved in development of information systems (IS) or other software products (SP), extension of functionality of integrated enterprise information systems (IEIS), as well as development environments for design and programming. In this regard, the author proposes to apply the extended level scheme of data and database modeling. When investigating the functions of each department and building their model description in subsystems (private models), it is possible to identify the same objects for providing functionality. Coherence is one of the advantages of the resulting model, providing typing and standardization of the creative processes of IS. We use data distribution mechanisms, which today are very topical. The proposed solution is based on a semantic dictionary reflecting the basic terms and concepts of the functional tasks of the business environment of an enterprise being modeled; it allows us to unify the application development and complements the data distribution strategy across the nodes of the enterprise. This article presents the principles for forming a family of harmonized data models. It provides a formal description of them, the algorithms and the possible core formation practices. The advantages of using this and approaches to possible use are discussed. AU - Ainura Kasymalieva UR - https://bijournal.hse.ru/en/2016--2 (36)/186059017.html PY - 2016 SP - 48-56 VL -