Digitalization of Society and the Economy: Systematization of Personal Data in Information Systems

Abstract: The problems of using personal data that arise from the inaccuracy of terms, both in information activities and in information law, are discussed. The arguments that can allow the creation of a thesaurus of personal data and their information ontology are presented. The results of an analysis based on the category-tensor approach make it possible to intensify the discussion on this topic. This indicates the need for interdisciplinary efforts to create an information ontology of personal data, without which digital transformation is impossible. The first version of the N-dimensional categorical model of personal data and operations with them is proposed, and the categories of a person and personal data are defined. © 2020, Allerton Press, Inc.

Authors
Number of issue
2
Language
English
Pages
133-138
Status
Published
Volume
47
Year
2020
Organizations
  • 1 Peoples’ Friendship University of Russia, Moscow, 117198, Russian Federation
Keywords
anonymization; category-tensor; data traces; depersonalization; meta-ontology; mirror traces; model; ontology; person; pseudonymization; shadow traces
Date of creation
02.11.2020
Date of change
02.11.2020
Short link
https://repository.rudn.ru/en/records/article/record/64858/
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