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.
In the paper, the sets of limit points for trajectories of continuous stationary Gaussian random fields are investigated. Subsets of the parametric set such that they generate the full set of limit points are described. Bibliography: 4 titles.1. Let (~,9 c, P) be a probabifity space, X a: separable Banach space, X* its conjugate space, I[" [[ the norm on X; ~(t), t E R d, an X-valued stationary Gaussian field with a.s. continuous paths. Let t = (tl,... td) e R d. Denote max [ti[ = [t[ and (2dlnmax(x,2))l/2 = ga(x), x E R. In this paper, we consider questions concerning the set of limit points of a path of the Gaussian fieldNotation. For a Ganssian measure 7 on X, we denote the reproducing kernel of 7 by H~, and the unit ball of this reproducing kernel by BH~ (i.e., BH~ = {x E H-r I ]X[H~ <_ 1}). For an absolute convex subset B C X, let NB(X) stand for inf{A > 0 t x e AB}. Note that for closed B there exists a sequence of linear continuous functionals {z~}~eN such that NB(X) = sup(x, z~,/). sEN For compact subsets K1,/(2 of X, the Hausdorf distance between them will be denoted by pH(K1, K2):
p~(K~,g~) =mf {~ > o I g~ C K L g~ c_ g~}.Remark, In this paper, all random elements and all random variables are assumed to be centered. As a preliminary we shall state a lemma.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.