On Formation of Geospatial Knowledge Based on Transformation of Geo-Descriptions
https://doi.org/10.30932/1992-3252-2024-22-2-1
Abstract
An approach presented within the framework of the problem of formalisation and presentation of geoinformation structures in the GIS environment and based on the functional programming capacity is intended to simplify the techniques of dealing with characteristics of geodata attributes. The paper considers issues related to formation, comparison and transformation of geo-descriptions for updating geoinformation in the GIS environment. To implement the transformation of geo-descriptions, a simplification of formation of a tool for representing geoinformation and geo-text sets is proposed. The approach described in the paper is based on the choice of a functional programming paradigm implemented in the form of data analytics machine, which allows implementing transformations of geo-descriptions in various GIS languages and maintaining the geodata repository in an up-to-date state.
About the Authors
I. N. Rozenberg
Russian University of Transport
Russian Federation
Russian Federation
Igor N. Rozenberg - D.Sc. (Eng), Professor, Corresponding Member of the Russian Academy of Sciences, Chief Scientific Officer of Russian University of Transport.
Moscow
Scopus Author ID 15136568900; РИНЦ Author ID 652172
S. K. Dulin
Federal Research Centre «Informatics and Control» of the Russian Academy of Sciences; Joint Stock Company «Design & Research Institute for Information Technology, Signalling and Telecommunication on Railway Transport» (JSC «NIIAS»)
Russian Federation
Russian Federation
Sergey K. Dulin - D.Sc. (Eng), Professor, Leading Researcher Federal Research Centre «Informatics and Control» of the Russian Academy of Sciences; Chief Researcher of Joint Stock Company «Design & Research Institute for Information Technology, Signalling and Telecommunication on Railway Transport» (JSC «NIIAS»).
Moscow
РИНЦ Author ID 3320
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Review
For citations:
Rozenberg I.N., Dulin S.K. On Formation of Geospatial Knowledge Based on Transformation of Geo-Descriptions. World of Transport and Transportation. 2024;22(2):6-11. https://doi.org/10.30932/1992-3252-2024-22-2-1
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