Skip to main content

Smart City Design Based on an Ontological Knowledge System

  • Conference paper
  • First Online:
Research and the Future of Telematics (TST 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1289))

Included in the following conference series:

Abstract

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Smart Cities Council “Smart city as one that has digital technology embedded across all city functions”. http://smartcitiescouncil.com/smart-cities-information-center/definitions-and-overviews. Accessed 07 Jan 2020

  2. European commission “A smart city is a place where the traditional networks and services are made more efficient with the use of digital and telecommunication technologies, for the benefit of its inhabitants and businesses”. https://ec.europa.eu/digital-agenda/en/smart-cities. Accessed 07 Jan 2020

  3. Department for Business, Innovation and Skills “Smart city is a process rather than a static outcome, in which increased citizen engagement, hard infrastructure, social capital and digital technologies make cities more liveable, resilient and better able to respond to challenges”. https://www.gov.uk/government/organisations/department-for-business-innovation-skills. Accessed 07 Jan 2020

  4. European Innovation Partnership on Smart Cities and Communities, Operational Implementation Plan: First Public Draft (2013). http://ec.europa.eu/eip/smartcities/files/operational-implementation-plan-oip-v2_en.pdf. Accessed 07 Jan 2020

  5. Přibyl, O., Svítek, M.: System-oriented approach to smart cities. In: Proceedings of the IEEE First International Smart Cities Conference (ISC2) (2015)

    Google Scholar 

  6. Rzevski, G., Skobelev, P.: Managing Complexity. WIT Press, New Forest, Boston (2014)

    Google Scholar 

  7. Abberley, L., et al.: Modelling road congestion using ontologies for big data analytics in smart cities. In: 2017 International Smart Cities Conference (ISC2), Wuxi, pp. 1–6 (2017)

    Google Scholar 

  8. Corazon, R.: Theory and history of ontology. https://www.ontology.co/. Accessed 14 May 2020]

  9. Gómez-Pérez, A., Fernández-López, M., Corcho, O.: Ontological Engineering with Examples from the Areas of Knowledge Management, e-Commerce and the Semantic Web. In: Wu, X., Jain, L. (Series eds.) Advanced Information and Knowledge Processing. Springer (2004). https://doi.org/10.1007/b97353

  10. Russel, S., Norvig, P.: Artificial Intelligence: A Modern Approach. Prentice-Hall, Englewood Cliffs (1995)

    MATH  Google Scholar 

  11. Gruber, T.R.: A translation approach to portable ontology specifications. Knowl. Acquisition 5, 199–220 (1993)

    Article  Google Scholar 

  12. The OMG® Specifications Catalogue. https://www.omg.org/spec/. Accessed 7 Jan 2020

  13. Mahmoodi, S.A., Mirzaie, K., Mahmoudi, S.M.: A new algorithm to extract hidden rules of gastric cancer data based on ontology. SpringerPlus 5, 312 (2016). https://doi.org/10.1186/s40064-016-1943-9

  14. Bergvall-Kareborn, B., Hoist, M., Stahlbrost, A.: Concept design with a living lab approach. In: 2009 42nd Hawaii International Conference on System Sciences, Big Island, HI, pp. 1–10 (2009)

    Google Scholar 

  15. Forbes, David E., Wongthongtham, P., Terblanche, C., Pakdeetrakulwong, U.: Ontology Engineering Applications in Healthcare and Workforce Management Systems. SSDC, vol. 123. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-65012-8

    Book  Google Scholar 

  16. Gyrard, A., Zimmermann, A., Sheth, A.: Building IoT-based applications for smart cities: how can ontology catalogs help? IEEE Internet Things J. 5(5), 3978–3990 (2018)

    Article  Google Scholar 

  17. Lourdusamy, R., John, A.: A review on metrics for ontology evaluation. In: 2018 2nd International Conference on Inventive Systems and Control (ICISC), Coimbatore, pp. 1415–1421 (2018)

    Google Scholar 

  18. Burns, M., et al.: Reasoning about smart city. In: 2018 IEEE International Conference on Smart Computing (SMARTCOMP), Taormina, Sicily, Italy, pp. 381–386 (2018)

    Google Scholar 

  19. Qamar, T., et al.: Smart city services ontology (SCSO): semantic modeling of smart city applications. In: 2019 Seventh International Conference on Digital Information Processing and Communications (ICDIPC), Trabzon, Turkey, pp. 52–56 (2019)

    Google Scholar 

  20. Abid, T., et al.: Towards a smart city ontology. In: 2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA), Agadir, pp. 1–6 (2016)

    Google Scholar 

  21. Barnaghi, P., et al.: A linked-data model for semantic sensor streams. In: 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, Beijing, pp. 468–475 (2013)

    Google Scholar 

  22. Chung, T.L., Xu, B., Zhang, P., Tan, Y., Zhu, P., Wubulihasimu, A.: Constructing city ontology from expert for smart city management. In: Kim, W., Ding, Y., Kim, H.-G. (eds.) JIST 2013. LNCS, vol. 8388, pp. 187–194. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-06826-8_15

    Chapter  Google Scholar 

  23. Komninos, N., et al.: Smart city ontologies: improving the effectiveness of smart city applications. J. Smart Cities 1(1), 31–46 (2016)

    Article  Google Scholar 

  24. Patel, A.S. et al.: Ontology-Based multi-agent smart bike sharing system (SBSS). In: 2018 IEEE International Conference on Smart Computing (SMARTCOMP), Taormina, pp. 417–422 (2018)

    Google Scholar 

  25. Syzdykbayev, M., Hajari, H., Karimi, H.A.: An ontology for collaborative navigation among autonomous cars, drivers, and pedestrians in smart cities. In: 2019 4th International Conference on Smart and Sustainable Technologies (SpliTech), Split, Croatia, pp. 1–6 (2019)

    Google Scholar 

  26. Ghannem, A., et al.: An adaptive I-parking application: an ontology-based approach. In: 2016 Future Technologies Conference (FTC), San Francisco, CA, pp. 777–785 (2016)

    Google Scholar 

  27. Rani, M.S., et al.: Ontology-based classification and analysis of non-emergency smart-city events. In: 2016 International Conference on Computational Techniques in Information and Communication Technologies (ICCTICT), New Delhi, pp. 509–514 (2016)

    Google Scholar 

  28. Khruahong, S., et al.: Develop an indoor space ontology for finding lost properties for location-based service of smart city. In: 2018 18th International Symposium on Communications and Information Technologies (ISCIT), Bangkok, pp. 54–59 (2018)

    Google Scholar 

  29. Nagowah, S.D., Sta, H.B., Gobin-Rahimbux, B.A.: An ontology for an IoT-enabled smart parking in a university campus. In: 2019 IEEE International Smart Cities Conference (ISC2), Casablanca, Morocco, pp. 474–479 (2019)

    Google Scholar 

  30. Brizzi, P., et al.: Towards an ontology driven approach for systems interoperability and energy management in the smart city. In: 2016 International Multidisciplinary Conference on Computer and Energy Science (SpliTech), Split, pp. 1–7 (2016)

    Google Scholar 

  31. Li, W., et al.: Review of standard ontologies for the web of things. In: 2019 Global IoT Summit (GIoTS), Aarhus, Denmark, pp. 1–6 (2019)

    Google Scholar 

  32. Bellini, P., et al.: Km4City ontology building vs data harvesting and cleaning for smart-city services. J. Vis. Lang. Comput. 25(6), 827–839 (2014)

    Article  Google Scholar 

  33. Babalou, S., Kargar, M.J., Davarpanah, S.H.: Large-scale ontology matching: a review of the literature. In: 2016 Second International Conference on Web Research (ICWR), Tehran, pp. 158–165 (2016)

    Google Scholar 

  34. Cross, V.V.: Fuzzy ontologies: the state of the art. In: 2014 IEEE Conference on Norbert Wiener in the 21st Century (21CW), Boston, MA, pp. 1–8 (2014)

    Google Scholar 

  35. Svítek, M., et al.: Smart city 5.0 testbed in Prague. In: Proceedings of Smart Cities Symposium Prague (SCSP) (2020)

    Google Scholar 

  36. Villanueva-Rosales, N., et al.: Semantic-enhanced living labs for better interoperability of smart cities solutions. In: 2016 IEEE International Smart Cities Conference (ISC2), Trento, pp. 1–2 (2016)

    Google Scholar 

Download references

Acknowledgement

This paper was supported by the project “Smart City – Smart Region – Smart Community” (CZ.02.1.01/0.0/0.0/17_048/0007435) financed by the Operational Programme Research, Development and Education of the Czech Ministry of Education, Youth and Sports, supported by EU funds.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ondřej Přibyl .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Přibyl, P., Přibyl, O., Svítek, M., Janota, A. (2020). Smart City Design Based on an Ontological Knowledge System. In: Mikulski, J. (eds) Research and the Future of Telematics. TST 2020. Communications in Computer and Information Science, vol 1289. Springer, Cham. https://doi.org/10.1007/978-3-030-59270-7_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-59270-7_12

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-59269-1

  • Online ISBN: 978-3-030-59270-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics