Ontology-based Model of a Smart City

Smirnova, Oksana and Popovich, Tatiana (2019) Ontology-based Model of a Smart City. REAL CORP 2019 – IS THIS THE REAL WORLD? Perfect Smart Cities vs. Real Emotional Cities. Proceedings of 24th International Conference on Urban Planning, Regional Development and Information Society. pp. 533-540. ISSN 2521-3938

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Abstract

The city environment is a complex, dynamic and distributed system. Effective management of the city environment presents a major challenge for a smart city. Effective city management must seek to improve urban infrastructure while minimising the costs, to stimulate innovations in different industries and to improve the quality of life for citizens. To create an adequate model of city’s environment structure it is necessary to analyse all the city’s components that influence the city environment management and to define data flows between these components. The most effective tool for representation of knowledge about the city environment, its components and relationships between them is the organisation of information in the form of an ontology-based model. In this paper we would like to introduce a novel ontology-based model for the smart city that includes definitions of entities and their properties, classes and their attributes and relationships between them. Such ontology enables us to use a knowledge base for the smart city as a basis of the decision-making support system for smart city management.

Item Type: Article
Uncontrolled Keywords: decision-making support system, smart city, city environment, city management, ontology
Subjects: B Philosophy. Psychology. Religion > B Philosophy (General)
B Philosophy. Psychology. Religion > BH Aesthetics
H Social Sciences > H Social Sciences (General)
H Social Sciences > HS Societies secret benevolent etc
H Social Sciences > HV Social pathology. Social and public welfare
T Technology > TD Environmental technology. Sanitary engineering
Depositing User: The CORP Team
Date Deposited: 01 Apr 2019 13:14
Last Modified: 01 Apr 2019 13:14
URI: http://repository.corp.at/id/eprint/517

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