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Ontological Model of Knowledge Representation for Assessing the City Visual Environment Quality

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Novel & Intelligent Digital Systems: Proceedings of the 3rd International Conference (NiDS 2023) (NiDS 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 783))

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Abstract

Visual ecology is one of the new interdisciplinary directions, the development of which is necessary for the formation of the principles of modern urban planning. This is a section of sensory ecology that is responsible for the quality of the human environment, perhaps no less than clean air. The article examines the current state of issues related to the analysis of the quality of the visual environment of the city. The factors influencing visual ecology are considered: the monotony of the surrounding space, increased visual noise level, color harmony, etc. And a system of criteria for the formation of a knowledge model for this subject area is proposed. Ontology is chosen as a formal model of knowledge representation, which provides integration of heterogeneous information and the possibility of automating its processing. The “Protege” editor was used to implement the ontology. A technology based on SWRL rules was used to formalize the rules.

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Acknowledgments

The study has been supported by the grant from the Russian Science Foundation (RSF) and the Administration of the Volgograd Oblast (Russia) No. 22-11-20024, https://rscf.ru/en/project/22-11-20024/. The authors express gratitude to colleagues from the Department of Digital Technologies for Urban Studies, Architecture and Civil Engineering, VSTU involved in the development of the project.

Author information

Authors and Affiliations

  1. Volgograd State Technical University, 28 Lenina Avenue, 400005, Volgograd, Russia

    Polina Galyanina & Natalya Sadovnikova

  2. Volgograd State Pedagogical University, 27 Lenina Avenue, 400005, Volgograd, Russia

    Tatiana Smirnova

  3. Volgograd State Technical University, 1 Akademicheskaya Street, 400074, Volgograd, Russia

    Artyom Zalinyan & Ekaterina Baranova

Authors
  1. Polina Galyanina
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  2. Natalya Sadovnikova
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  3. Tatiana Smirnova
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  4. Artyom Zalinyan
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  5. Ekaterina Baranova
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Corresponding author

Correspondence to Natalya Sadovnikova .

Editor information

Editors and Affiliations

  1. Department of Environment, Ionian University, Zakynthos, Greece

    Katerina Kabassi

  2. Department of Informatics and Computer Engineering, University of West Attica, Egaleo, Greece

    Phivos Mylonas

  3. College of Engineering, University of the Philippines, Diliman, Philippines

    Jaime Caro

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Galyanina, P., Sadovnikova, N., Smirnova, T., Zalinyan, A., Baranova, E. (2023). Ontological Model of Knowledge Representation for Assessing the City Visual Environment Quality. In: Kabassi, K., Mylonas, P., Caro, J. (eds) Novel & Intelligent Digital Systems: Proceedings of the 3rd International Conference (NiDS 2023). NiDS 2023. Lecture Notes in Networks and Systems, vol 783. Springer, Cham. https://doi.org/10.1007/978-3-031-44097-7_13

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