Open AccessIntelligent data model concepts
Author(s) -
G. M. Rudakova,
S. L. Gladkov,
O. V. Korchevskaya
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1399/3/033080
Subject(s) - metadata , computer science , context (archaeology) , set (abstract data type) , metadata modeling , interpretation (philosophy) , metadata repository , data model (gis) , artificial intelligence , world wide web , programming language , paleontology , biology
Traditional database systems have a common flaw: the many concepts that make up their metadata must be predefined. By concept we mean concepts, terms, entities. To create a new concept, you must resort to programming or change metadata. There are a number of tasks for the solution of which it is necessary to manipulate metadata. The data mining model should be based on a dynamic concept model. The concept of a data model and a data set, as an interpretation of predicates, is introduced. Based on many basic concepts, many generated concepts are given. The classification, verification, falsification of concepts and the expanded context of many concepts are also considered. Using this approach will provide the ability to control the creation and expansion of distributed information systems.