2024, Vol. 11, No. 4. - go to content...

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DOI: 10.15862/09INOR424 (https://doi.org/10.15862/09INOR424)

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Diomidov I.A. Integrated forest and forest resources information processing system model. Russian journal of resources, conservation and recycling. 2024; 11(4). Available at: https://resources.today/PDF/09INOR424.pdf (in Russian). DOI: 10.15862/09INOR424

Integrated forest and forest resources information processing system model

Diomidov Ivan Andreevich
Irkutsk State Transport University, Irkutsk, Russia
Roslesinforg, Irkutsk, Russia
Pribaikallesproekt
E-mail: pilad0hwtts@yandex.ru
RSCI: https://elibrary.ru/author_profile.asp?id=1220889

Abstract. The problem of integration is relevant for forestry, as data quality directly affects the efficiency of management processes. The purpose of this study is to develop a formal model for a data integration system. To achieve this goal, an analysis of publications on processes and approaches to integrated data processing and management was conducted. The integration task is formulated as data consolidation. During the model development, it was decomposed into the task of establishing dependencies between sets of data types designed for specific processing systems. A query model over the data was constructed. The query model is divided into logical (a list of implemented logical groups of operations, whether functional or integrative) and physical (a sequence of transformations). Based on the query model, a data integration system model was proposed, where each element — a module — consists of functional and logical components for specific data types. Each module of this system is designed to address two objectives: fulfilling specific application requirements and implementing specific logical groups of operations. The advantage of this model lies in its structural similarity to software information processing systems. The study includes an example application of this model — designing a set of several modules with consideration for their potential integration. This research contributes to the development of theoretical approaches to solving the data integration problem and may be useful for specialists and researchers in the fields of systems analysis and forestry.

Keywords: systems analysis; databases; forestry; integration; forest inventory; queries

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