Open AccessApplication of semantic models and criteria equivalence of data to increase efficiency func-tioning of economic systems
Author(s) -
Ganna Pliekhova,
Olena Alisejko,
Зоя Кочуєва
Publication year - 2021
Publication title -
avtomobìlʹ ì elektronìka. sučasnì tehnologìï
Language(s) - English
Resource type - Journals
ISSN - 2226-9266
DOI - 10.30977/veit.2021.19.0.41
Subject(s) - relational database , computer science , relational model , ambiguity , equivalence relation , equivalence (formal languages) , class (philosophy) , relational calculus , entity–relationship model , theoretical computer science , data mining , artificial intelligence , mathematics , programming language , discrete mathematics , pure mathematics
Problem. In modern society, the role of modeling as a way of cognizing objects with complex structures is growing. The problem of development of models and criteria of semantic equivalence of data under the condition of their lexical ambiguity in relation to relational databases is considered. This is due to the impossibility or undesirability of conducting an experiment on real objects. Modeling was initially applied in "well" studied subject areas (for which the basic laws of object interaction were already known. This knowledge made it possible to set a priori the class of used models of the subject area and reduce the task to setting the model parameters according to the available experimental data. A fundamental change in the modeling scheme occurred during the transition to the development of modeling systems for "weakly" formalized subject areas, where the structure itself and the class of applicable models must be refined in the course of research. The widespread use of relational DB and their use in a wide variety of applications shows that the relational data model is sufficient for modeling domains. Results. The purpose of developing criteria is to prevent relational algebra operations on attributes with lexical and semantic ambiguity. Methods of developing methods and criteria are based on the use of mathematical methods and the use of modern information technology. The scientific novelty is to solve the problem of semantic comparability of relational relations attributes by means of relational model, which allows to effectively solve problems of prevention of relational algebra operations, which lead to data destruction due to ambiguity of lexical and semantic meanings of attribute names. The practical significance lies in the development of methods for organizing access to data in large subject areas, which together with the degree of efficiency of their processing serve as the foundation of the modern information industry and normalizes the vocabulary of subject area description and coordination of management tasks within a single approach.