Development of knowledge base structure of geoinformation monitoring system for evaluation of qaulity status of agricultural lands

Authors

  • Світлана Станіславівна Кохан National University of Life and Biological Sciences of Ukraine Heroyiv Oborony st., 15, Kyiv-03041, Ukraine, Ukraine
  • Антоніна Анатоліївна Москаленко National University of Life and Biological Sciences of Ukraine. 15 Heroyiv Oborony str., Kyiv, Ukraine, 03041, Ukraine https://orcid.org/0000-0001-7538-8044

DOI:

https://doi.org/10.15587/1729-4061.2015.51050

Keywords:

geoinformation monitoring, knowledge base, geospatial data base, GIS mapping

Abstract

Solution to the problem of information decision support for monitoring the quality status of agricultural lands was highlighted and the necessity of creating an information structure that will facilitate operational monitoring of lands, creation of integrated digital thematic maps and GIS models to reflect the current status of lands was substantiated. A set of thematic variables of geoinformation monitoring system objects for evaluating and mapping the quality status of agricultural lands, providing calculation of key indicators of the quality status of lands such as ploughing-up, forest cover, field-protective forest cover, agricultural development, factors of anthropogenic load and environmental stability was defined.

The process of developing the knowledge base structure of the geoinformation monitoring system that includes the following components: thematic variables of geoinformation monitoring system objects, sets of methods for research, data processing, cartographic representation and spatial analysis was shown. A set and composition of knowledge base libraries and geoinformation monitoring system rules - set of thematic variables, set of scales of indices, library of formulas that unify information, methods of processing and presentation of results was determined.

A set and composition of metadata, rules of spatial analysis and cartographic representation of geoinformation monitoring system objects for evaluating the quality status of agricultural lands was established. The methods and types of cartographic representation were selected, the rulesets for geoinformation analysis (classification, overlay analysis, cartometric operations), symbols and composition of the legend for each index were chosen.

The developed knowledge base structure can be a basis for creating a set of thematic maps for evaluating, updating and forecasting the status of geosystems and their components.

Author Biographies

Світлана Станіславівна Кохан, National University of Life and Biological Sciences of Ukraine Heroyiv Oborony st., 15, Kyiv-03041, Ukraine

Dr. Hab (Engineering), Assosiate Professor, Head of the Department

Department of GIS Systems and Technologies

Антоніна Анатоліївна Москаленко, National University of Life and Biological Sciences of Ukraine. 15 Heroyiv Oborony str., Kyiv, Ukraine, 03041

PhD, Associate profesor.

Department of GIS systems and technologies

References

  1. Karpinski, Y., Lyaschenko, A. (2014). Content and means of modern geo-mapping. International scientific-practical conference "Integration of geospatial data in studies of natural resources". Sourcebook, 72–76.
  2. Bulygin, S., Achasov, A. (2012). Using GIS technology for soil mapping Bulletin of Agricultural Science, 10, 52–56.
  3. Kobets, M. Using of modern information technologies in agricultural management. Availale at: http://undp.org.ua/agro/pub/ua/P2005_05_08_05.pdf
  4. Zatserkovnyy, V., Krivoberets, S. (2011). Analysis of GIS technology possibilities to monitoring of arable land. Chernigov scientific journal. Series 2, Engineering and nature number, 2 (2), 88–94.
  5. Lyaschenko, A., Cherin, A. (2010). Architecture modern GIS based on spatial databases. Bulletin of Geodesy and Mapping, 5, 45–50.
  6. Karpinski, Y., Lyaschenko, A., Runets, R. (2010). Reference model of topographic database. Bulletin of Geodesy and Mapping, 2, 28–36.
  7. Syhov, A., Nechaev, V., Koshkarev, M. (2014). Architecture subject-oriented knowledge base of intellectual. International Journal of Open Information Technologies, 2 (12), 1–6.
  8. Zagorulko, Y. (2013). On the concept of the integrated model of knowledge representation. Bulletin of the Tomsk Polytechnic University, 5 (322), 98–103.
  9. Fedoruk, P., Dyakiv, N. (2004). Technology assessment of the evaluation of the knowledge base. Math. Machines and Systems, 2, 49–53.
  10. Somik, A., Golovin, M. (2011). Adaptive semantic models of knowledge representation and control. Eastern-European Journal of Enterprise Technologies, 5/2(53), 35–38. Available at: http://journals.uran.ua/eejet/article/view/1175/1079
  11. Abdullah, M. S., Evans, A., Benest, I., Kimble, C. (2004). Modelling Knowledge-Based Systems Using UML Profile. Available at: http://www.chris-kimble.com/Publications/Documents/Abdullah_2004b.pdf
  12. Abdullah, M. S., Evans, A., Benest, I., Kimble, C. (2004). Developing a UML Profile for Modelling Knowledge-Based Systems. Available at: http://www.chris-kimble.com/Publications/Documents/Abdullah_2004a.pdf
  13. Kokhan, S., Moskalenko, A., Shilo, L. (2013). Geoinformation service of soil quality evaluation. Eastern-European Journal of Enterprise Technologies, 6/3 (66), 18–25. Available at: http://journals.uran.ua/eejet/article/view/19174/17188

Published

2015-10-21

How to Cite

Кохан, С. С., & Москаленко, А. А. (2015). Development of knowledge base structure of geoinformation monitoring system for evaluation of qaulity status of agricultural lands. Eastern-European Journal of Enterprise Technologies, 5(2(77), 32–37. https://doi.org/10.15587/1729-4061.2015.51050