Smart City Design Based on an Ontological Knowledge System
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F20%3A00343236" target="_blank" >RIV/68407700:21260/20:00343236 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21730/20:00343236
Result on the web
<a href="https://doi.org/10.1007/978-3-030-59270-7_12" target="_blank" >https://doi.org/10.1007/978-3-030-59270-7_12</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-59270-7_12" target="_blank" >10.1007/978-3-030-59270-7_12</a>
Alternative languages
Result language
angličtina
Original language name
Smart City Design Based on an Ontological Knowledge System
Original language description
Smart city has several definitions. Typically, it is an alliance of subsystems that have following objectives: improvement of quality of life of citizens, better use of limited resources and best use of existing infrastructure. Transportation as one of the most important subsystems shall be thus understood as one player working together with energy management, economy, eGovernment, and others. Synergy is the key to successful implementation. In order to be able to aim at the joint objective function and any synergy, the different subsystems must “understand” each other. Ontology has been acknowledged to be the most common tool to do that. To prepare an ontology for a domain (for example transportation) is a complicated task. In order to do that in a city, where there are several subsystems with complex behaviour is even more challenging. It is very difficult if not impossible to get experts from different fields to prepare a common ontology. In this paper we address the issue of Smart City Design and propose a pragmatic method to prepare an ontological knowledge system using the knowledge of various expert groups. A new concept, so call a knowledge matrix, is defined and used to enable cooperation of experts from different fields. We believe this can further help in implementation of any smart city projects. In order to demonstrate the approach, transportation domain is used as an example for the ontology design. The approach will be further validated within two case studies that are also introduced within this paper: Smart Evropská street in Prague and within a project Smart City – Smart Region – Smart Community, where a transport behavioristic model is being developed based on the ontology described within this paper.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/EF17_048%2F0007435" target="_blank" >EF17_048/0007435: Smart City - Smart Region - Smart Community</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Research and the Future of Telematics
ISBN
978-3-030-59269-1
Number of pages of the result
13
Pages from-to
152-164
Number of pages of the book
469
Publisher name
Springer Nature Switzerland AG
Place of publication
Basel
UT code for WoS chapter
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