TAXONOMIZATION OF THE EXPEDITION RESEARCH RESULTS OF STUDENTS IN THE CONTEXT OF SCIENTIFIC EDUCATION
DOI:
https://doi.org/10.51707/2618-0529-2022-25-14Keywords:
ontology, science, Geoinformational systems, STEM, Science education.Abstract
The modern development of humankind, particularly in the field of information technology, has led to the existence and accumulation of a great deal of unsystematic information. This problem also concerns the point at which results are presented in the scientific method. In particular, there is a lot of documentation that links results to geographic coordinates, particularly expeditionary search results. The paper aims to propose an innovative method linked to the structuring of expositional data with ontologies for the structuring of data and GIS. The fundamental characteristics and benefits of the proposed methodology are also described in this paper. The ontological expedition journal models have been developed to streamline and distribute expeditionary search results. Google tables, where the columns represent the name of the object to be analyzed, and in the lines, the measured parameter were designed. The special rows were designed to save geographical coordinates which were used in the future to locate objects on GIS. The approbation was carried out on the example of expedition research of students of the National Center “Junior Academy of Sciences of Ukraine” in the field of water quality. The main information classes are pH, Electrical conductivity, Mineralization., Hardness, Cl, SO4, Pb, Fe total, Fe (II), Fe (III), Cu, corresponding to indicators: acidity, electrical conductivity, mineralization, content of chlorides, sulfates, lead, total iron, ferrous iron, ferric iron and copper. The ontological graphs were developed in Cognitive IT Polyhedron with the possibility of processing results using the “Audit” and “Ranking” tools, as well as presenting information in the form of an ontological prism. The proposed method will provide simplification of information collected during the review (background research) stage of the science approach.
References
Sarakinos, K., Alami, J., & Konstantinidis, S. (2010). High power pulsed magnetron sputtering: A review on scientific and engineering state of the art. Surface and Coatings Technology, 204 (11), 1661–1684. DOI: https://doi.org/10.1016/j.surfcoat.2009.11.013.
Boote, D. & Beile, P. (2005). Scholars Before Researchers: On the Centrality of the Dissertation Literature Review in Research Preparation. Educational Researcher, 34 (6), 3–15. DOI: https://doi.org/10.3102/0013189X034006003.
Stryzhak, O. Ye. (2014). Invariant Tasks of Ontological Systems. Information Technologies & Knowledge, 8 (4), 356–360.
Fonseca, F. T., Egenhofer, M. J., Agouris, P., & Caã, G. (2002). Using Ontologies for Integrated Geographic Information Systems. Transactions in GIS, 6 (3), 231–257.
Partyka, J., Alipanah, N., Khan, L., Thuraisingham, B., & Shekhar, S. (2008). Content-based ontology matching for GIS datasets. GIS’08 : Proceedings of the 16th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems. (pp. 407–410). New York : Association for Computing Machinery. DOI: https://doi.org/10.1145/1463434.1463496.
Frank, A. U. (2007). Data quality ontology: An ontology for imperfect knowledge. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4736, 406–420. DOI: https://doi.org/10.1007/978-3-540-74788-8_25.
Schlenoff, C., Denno, P., Ivester, R., Libes, D., Szykman, S., & Thompson, K. (2000). Analysis and approach to using existing ontological systems for applications in manufacturing. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 14 (4), 257–270. DOI: https://doi.org/10.1017/S0890060400144038.
Stryzhak, O. Ye., Shapovalov, V. B., & Shapovalov, Ye. B. (2018). Ontological support of educational research. S. O. Dovhyi (Ed.). Informatsiini tekhnolohii upravlinnia ekolohichnoiu bezpekoiu, pryrodokorystuvanniam, zakhodamy v nadzvychainykh sytuatsiiakh: rozrobky ta dosiahnennia do 100-richchia NAN Ukrainy – Information Technologies of Management of Ecological Safety, Nature Management, Measures in Emergency Situations: Developments and Achievements to the 100 Anniversary of the National Academy of Sciences of Ukraine : Scientific works collection. (рр. 165–168). Kyiv : Euston.
Velichko, V., Popova, M., Prykhodniuk, V., & Stryzhak, O. (2017). TODOS is an IT platform for the formation of transdisciplinary information environments. Weapons Systems and Military Equipment, 1 (49), 10–19.
Volckmann, R. (2007). Transdisciplinarity: Basarab Nicolescu Talks with Russ Volckmann. Lancet Neurology, 6 (9), 76. DOI: https://doi.org/10.1016/S1474-4422(07)70211-9.
Stryzhak, O., Horborukov, V., Franchuk, O., & Popova, M. (2014). Ontology of the choice problem and its application in the analysis of limnological systems. Ecological Safety and Nature Management, 172–183.
Stryzhak, O., Prykhodniuk, V., & Podlipaiev, V. (2018). Model of Transdisciplinary Representation of GEOspatial Information. Advances in Information and Communication Technologies, 560, 34–75. DOI: https://doi.org/10.1007/978-3-030-12385-7.
Prykhodniuk, V., & Stryzhak, O. (2017). Ontological GIS as a means of organizing geospatial information. Science and Technology of the Air Force of the Armed Forces of Ukraine, 2 (27), 167–174.
Horborukov, V., Stryzhak, O., Franchuk, O., & Shapovalov, V. (2018). Ontological representation of the problem of ranking alternatives. Mathematical Modeling in Economics, 4, 49–69. DOI: https://doi.org/10.1017/CBO9781107415324.004.
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