{"title":"Management of urban public green spaces","authors":"O. D’yachkova, A. E. Mikhailov","doi":"10.22227/2305-5502.2023.1.11","DOIUrl":null,"url":null,"abstract":"Introduction. People want effective management and balanced development of urbanised systems. In a comprehensive social, economic and environmental research of human living conditions in the city, various kinds of sociological surveys of the population are applied and foresight sessions are held with subject matter experts to analyse the existing level of safety and comfort of residence. However, in the context of growing urbanized systems, there is an acute shortage of new methods, ways and tools of knowing them for the purpose of effective management and balanced development. Materials and methods. The article presents aspects of the methodology for extracting and structuring knowledge of urban public green spaces in cities. The work is based on the paradigms of ontological engineering and knowledge management. Results. Ontological engineering as a theory and methodology for developing ontologies is actively developing. However, the main success lies in the field of knowledge formalization technology, while the methodology for extracting and structuring knowledge is still under development. The problem of meaningful analysis of the subject area remains open, the relevance of research of which is confirmed by sustainable development goal 11, target 11.7: “by 2030 provide universal access to safe, available and inclusive green spaces and public spaces, especially for women amd children, older and disabled people”. The article describes the process of developing a taxonomy of expert knowledge about urban public green spaces in city. The taxonomy includes classes, subclasses, properties for subclasses and options for properties. Conclusions. The results of the conceptualisation of knowledge of the subject can be used as elements in the construction of the knowledge graph framework. With appropriate refinement, the taxonomy can be in demand for scientific research, design of innovative services and intelligent systems used in urban planning and urban economy.","PeriodicalId":30543,"journal":{"name":"Stroitel''stvo Nauka i Obrazovanie","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Stroitel''stvo Nauka i Obrazovanie","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22227/2305-5502.2023.1.11","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction. People want effective management and balanced development of urbanised systems. In a comprehensive social, economic and environmental research of human living conditions in the city, various kinds of sociological surveys of the population are applied and foresight sessions are held with subject matter experts to analyse the existing level of safety and comfort of residence. However, in the context of growing urbanized systems, there is an acute shortage of new methods, ways and tools of knowing them for the purpose of effective management and balanced development. Materials and methods. The article presents aspects of the methodology for extracting and structuring knowledge of urban public green spaces in cities. The work is based on the paradigms of ontological engineering and knowledge management. Results. Ontological engineering as a theory and methodology for developing ontologies is actively developing. However, the main success lies in the field of knowledge formalization technology, while the methodology for extracting and structuring knowledge is still under development. The problem of meaningful analysis of the subject area remains open, the relevance of research of which is confirmed by sustainable development goal 11, target 11.7: “by 2030 provide universal access to safe, available and inclusive green spaces and public spaces, especially for women amd children, older and disabled people”. The article describes the process of developing a taxonomy of expert knowledge about urban public green spaces in city. The taxonomy includes classes, subclasses, properties for subclasses and options for properties. Conclusions. The results of the conceptualisation of knowledge of the subject can be used as elements in the construction of the knowledge graph framework. With appropriate refinement, the taxonomy can be in demand for scientific research, design of innovative services and intelligent systems used in urban planning and urban economy.