The Development of a Water Resource Monitoring Ontology as a Research Tool for Sustainable Regional Development
Ospan A. Mansurova M. Barakhnin V. Nugumanova A. Titkov R.
November 2023Multidisciplinary Digital Publishing Institute (MDPI)
Data
2023#8Issue 11
The development of knowledge graphs about water resources as a tool for studying the sustainable development of a region is currently an urgent task, because the growing deterioration of the state of water bodies affects the ecology, economy, and health of the population of the region. This study presents a new ontological approach to water resource monitoring in Kazakhstan, providing data integration from heterogeneous sources, semantic analysis, decision support, and querying and searching and presenting new knowledge in the field of water monitoring. The contribution of this work is the integration of table extraction and understanding, semantic web rule language, semantic sensor network, time ontology methods, and the inclusion of a module of socioeconomic indicators that reveal the impact of water quality on the quality of life of the population. Using machine learning methods, the study derived six ontological rules to establish new knowledge about water resource monitoring. The results of the queries demonstrate the effectiveness of the proposed method, demonstrating its potential to improve water monitoring practices, promote sustainable resource management, and support decision-making processes in Kazakhstan, and can also be integrated into the ontology of water resources at the scale of Central Asia.
knowledge graph , ontology , RDF triples , semantic web , spatial data , water resource monitoring
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Department of Artificial Intelligence and Big Data, Faculty of Information Technology, Al-Farabi Kazakh National University, Almaty, 050040, Kazakhstan
Federal Research Center for Information and Computational Technologies, Novosibirsk, 630090, Russian Federation
Department of Informatics Systems, Faculty of Information Technology, Novosibirsk State University, Novosibirsk, 630090, Russian Federation
Department of Big Data and Blockchain Technologies, Astana IT University, Astana, 010000, Kazakhstan
Department of Artificial Intelligence and Big Data
Federal Research Center for Information and Computational Technologies
Department of Informatics Systems
Department of Big Data and Blockchain Technologies
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