• Home
  • Historical notes
  • Articles & Issues
    • Current
    • All Issues
  • About
    • Aims and Scope
    • Editorial Board
    • Indexing
    • Sources of Financing
  • For Authors
    • Submission
    • Terms of Publication
    • Formatting Guidelines
    • Peer Review Process
    • Article Processing Charges
    • License Agreement
  • Ethics & Policies
    • Publication Ethics
    • Conflict of Interest
    • Open Access Policy
    • Archiving
    • Complaints Policy
    • Privacy Statement
    • Corrections and Retractions
    • Anti-plagiarism Policy
    • Generative AI Policy
  • Contacts
en English
  • Українська Українська

UkrainianProfessional Education

  • Submit an article
  • Home
  • Articles & Issues
    • Current
    • All Issues
  • About
    • Aims and Scope
    • Editorial Board
    • Indexing
    • Sources of Financing
  • For Authors
    • Submission
    • Terms of Publication
    • Formatting Guidelines
    • Peer Review Process
    • Article Processing Charges
    • License Agreement
  • Ethics & Policies
    • Publication Ethics
    • Conflict of Interest
    • Open Access Policy
    • Archiving
    • Complaints Policy
    • Privacy Statement
    • Corrections and Retractions
    • Anti-plagiarism Policy
    • Generative AI Policy
  • Search
  • Contacts

Article

  • Read article
  • Download article

Received 02.08.2024

Revised 16.11.2024

Accepted 14.12.2024

Retrieved from Iss. 116, P. 2, 2024

Pages 104 -114

  • 179 Views

Suggested citation

Masliy, L., Meteshkin, K., & Kukhar, M. (2024). CATEGORICAL MODEL OF THE CADASTRAL INFORMATION PROCESSING CENTER. Automobile Roads and Road Construction, (116.2), 104-114. https://doi.org/10.33744/0365-8171-2024-116.2-104-114

CATEGORICAL MODEL OF THE CADASTRAL INFORMATION PROCESSING CENTER

Liubov Masliy Kostiantyn Meteshkin Maksym Kukhar

Abstract

The modern cadastral and land management systems of Ukraine have different development paths, one of which is the improvement of mechanisms for administering land resources by reducing human influence. To this end, it is proposed to create an additional element of the system that will be responsible for the interaction between all databases and land management structures. This article proposes the idea of a Cadastral Information Processing Center (CIPС) as an intelligent platform for automating the functioning of all components of land management and cadastral systems. It includes a number of new elements as well as several known and currently functioning elements: a cadastral register of intellectual resources, a database of cadastres (land, forestry, construction, etc.), knowledge bases, a repository of typical problem-solving models, and sources of information about the subject and object of land administration, regulatory and legal frameworks, intelligent interfaces, customers, and problem solvers. This platform will facilitate the storage, processing, and transmission of data for the purposes of administering land resources, allowing for the resolution of existing cadastral and land management tasks in semi-automatic and automatic modes, depending on the complexity of the assigned task. The presented work emphasizes the application of modern mathematical methods, in particular, tools of category theory, which provide a structured approach to modeling and analyzing cadastral data in the CIPС. This method allows for the representation of system elements as elements of categories, where each object belongs to a general structure governed by certain rules of interaction—morphisms. Specifically, models are presented that characterize the interconnection of all elements that constitute a holistic system for solving land management tasks. Mathematical modeling of interactions allows for the organization of data, establishing a structured exchange of information, and performing necessary operations within the CIPС. By combining intelligent and mathematical methods, it becomes possible to enhance the effectiveness of the cadastral system in Ukraine, reducing the burden on administrative bodies and promoting the automation of decision-making processes

Keywords:

cadastre, Land management, categorical model, modeling, category theory, morphism, Land administration, system, diagram

References

  1. Zarytskyi, A.V. (2018). Technology for building monitoring of regional resources based on ranking of territorial management information systems. (Abstract of PhD dissertation, Kharkiv, Ukraine).  
  2. Meteshkin, K.O., Pilicheva, M.O., & Maslii, L.O. (2022). State land cadastre in the noospheric concept of V.I. Vernadsky. Municipal Economy of Cities. Series: Technical Sciences and Architecture, 173, 86-90. 
  3. Hubar, Yu., Khavar, Yu., & Vash, Ya. (2021). Ways of development of national cadastral systems. Modern Achievements of Geodetic Science and Production, 41, 151-163. 
  4. Meteshkin, K.O., Pilicheva, M.O., & Maslii, L.O. (2023). Comparative analysis of characteristics of cadastral systems of European Union countries. Municipal Economy of Cities. Series: Technical Sciences and Architecture, 177, 85-91.
  5. Stoter, J., Ploeger, H., & van Oosterom, P. (2013). 3D cadastre in the Netherlands: Developments and international applicability. Computers, Environment and Urban Systems, 40, 56-67.  
  6. Döner, F., & Şirin, S. (2020). 3D digital representation of cadastral data in Turkey – apartments case. Land, 9(6), article number 179. 
  7. Ying, S., Li, C., Chen, N., Jia, Y., Guo, R., & Li, L. (2021). Object analysis and 3D spatial modelling for uniform natural resources in China. Land, 10(11), article number 1154.
  8. Bydłosz, J., & Bieda, A. (2020). Developing a UML model for the 3D cadastre in Poland. Land, 9(11), article number 466.  
  9. Kukhar, M.A. (2018). Models of computer support for decision-making in the land relations system in Ukraine. (PhD dissertation, Kharkiv, Ukraine).
  10. Adámek, J., Herrlich, H., & Strecker, G.E. (2006). Abstract and concrete categories: The joy of cats. Reprints in Theory and Applications of Categories, 17, 1-509. 
  11. Mamonov, K., Kukhar, M., Shterndok, E., & Kamchatna, S. (2023). Standardization of geodetic data for determination of boundaries of natural reserve areas. E3S Web of Conferences, 030, 1-13.
  12. Kukhar, M.A. (2020). Conceptual models of decision support in multilevel administration systems. Bulletin of Vinnytsia Polytechnic Institute, 3, 51-56.
  13. Williamson, I., Enemark, S., Wallace, J., & Rajabifard, A. (2009). Land administration for sustainable development. Redlands, CA: Esri Press. 
  14. Maslii, L.O. (2024). Concept of the cadastral information processing center model in Ukraine. In Materials of the international scientific and practical conference “Geospatial support for urban planning and territorial planning” (pp. 25-27). Kharkiv: O. M. Beketov National University of Urban Economy in Kharkiv.
Share
Facebook
Twitter
LinkedIn
Email
Telegram
Viber
WhatsApp

https://doi.org/10.33744/0365-8171-2024-116.2-104-114

Address
01010, Ukraine, Kyiv,
1, M. Omelianovycha-Pavlenka Str.


Email
ntu@arrcjournal.org

Main information
  • Aims and Scope
  • Indexing
  • Terms of Publication
  • Editorial Board
  • Publication Ethics
Additional information
  • Complaints Policy
  • Peer Review Process
  • Open Access Policy
  • Anti-plagiarism Policy
  • Generative AI Policy
  • Archiving