According to Vladimir Barakhnin, head of the Department of Mathematical Modeling at NSU, the algorithm helps to integrate data from different tables and display them on a map to analyze the environmental situation. This is important in Russia and Kazakhstan, where collecting environmental information is complicated by bureaucratic hurdles and inconsistency of data from various departments.
The system uses a hybrid approach that combines data extraction rules and ontologies that interpret their meanings. For example, data on air or water pollution is automatically linked to relevant categories such as “city” or “temperature”. This approach allows you to process data more accurately and identify new patterns.
One of the basic blocks of the algorithm is the analysis of the state of water resources. This is particularly important for the region because many Siberian rivers, such as the Irtysh, have their source in Kazakhstan.
Source: Ferra
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