Annals of Computer Science and Information Systems, Volume 18

DOI: http://dx.doi.org/10.15439/2019F80

Citation: Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 18, pages 493–496 (2019)

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Abstract. The irreversible process of demographic change, especially in Germany, leads to numerous challenges. According to this, research has to face the task to integrate the constantly ageing population into the urban and public space in such a way that there are as few barriers as possible. With the support of digitalization, so-called smart urban objects are being designed in order to do make integration, so that people and the available technology can be used most efficiently. A special ontology has been developed to meet this demand.

References

1. https://de.statista.com/statistik/daten/studie/71539/umfrage/bevoelkerung-in-deutschland-nach-altersgruppen/ , last accessed: 2019-03-11
2. Hubl, M., Skowron, P., Aleithe, M.: Towards a Supportive City with Smart Urban Objects in the Internet of Things: The Case of Adaptive Park Bench and Adaptive Lights. In: Position Papers of the 2018 Federated Conference on Computer Science and Information Systems (FedCSIS). Annals of Computer Science and Information Systems (ACSIS) 16. Maria Ganzha, Leszek A. Maciaszek, Marcin Paprzycki (eds.), pp. 51-58, (2018). http://dx.doi.org/10.15439/2018F118
3. Kötteritzsch, A., Koch, M., Wallrafen, S.: Expand Your Comfort Zone! Smart Urban Objects to Promote Safety in Public Spaces for Older Adults. In: Adjunct Proceedings of UbiComp 2016, ACM Press, (2018) http://dx.doi.org/10.1145/2968219.2968418
4. Aleithe, M., Skowron, P., Franczyk, B., Sommer, B.: Data modeling of smart urban object networks. In: Proceedings of the International Conference on Web Intelligence (WI '17), pp. 1104-1109 (2017). http://dx.doi.org/10.1145/3106426.3117759
5. Aleithe, M., Skowron, P., Schöne, E., Franczyk, B.: Adaptive Lighting System as a Smart Urban Object. In: Communication Papers of the 2018 Federated Conference on Computer Science and Information Systems (FedCSIS 2018). Annals of Computer Science and Information Systems (ACSIS) 17, Maria Ganzha, Leszek A. Maciaszek, Marcin Paprzycki (eds.), pp. 145-149, (2018). http://dx.doi.org/10.15439/2018F30
6. https://www.urbanlifeplus.de/ , last accessed: 2019-02-26
7. Abinaya, Kumar, V., Swathika: Ontology Based Public Healthcare System in Internet of Things (IoT). In: Procedia Computer Science 50, pp. 99-102, (2015). http://dx.doi.org/10.1016/j.procs.2015.04.067
8. Gür, N., Sanchez, L. D., Kauppinen, T.: GI Systems for Public Health with an Ontology Based Approach. In: Proceedings of the AGILE'2012 International Conference on Geographic Information Science, Avignon, pp. 86-91 (2012). ISBN: 978-90-816960-0-5
9. Mocholi, J. B., Sala, P., Fernandez-Llatas, C., Naranjo, J. C.: Ontology for Modeling Interaction in Ambient Assisted Living Environments. In: XII Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON 2010), pp. 655-658 (2010). http://dx.doi.org/10.1007/978-3-642-13039-7_165
10. Moreno, P. A., Hernando, M. E., Gomez, E. J.: AALUMO: A User Model Ontology for Ambient Assisted Living Services Supported in Next-Generation Networks. In: XIII Mediterranean Conference on Medical and Biological Engineering and Computing 2013, pp. 1217-1220 (2013). http://dx.doi.org/https://doi.org/10.1007/978-3-319-00846-2_301
11. Fredrich, C., Kuijs, H., Reich, C.: An Ontology for User Profile Modeling in the Field of Ambient Assisted Living. In: SERVICE COMPUTATION 2014 : The Sixth International Conferences on Advanced Service Computing. (2014). ISBN: 978-1-61208-337-7
12. Woznowski, P. R., Tonkin, E. L., Flach, P. A.: Activities of Daily Living Ontology for Ubiquitous Systems: Development and Evaluation. In: Sensors 2018, 18, 2361. (2018) http://dx.doi.org/10.3390/s18072361
13. Butzin, B., Golatowski, F., Timmermann, D.: A survey on information modeling and ontologies in building automation. In: Conference: IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society. (2017). http://dx.doi.org/10.1109/IECON.2017.8217514
14. Abid, T., zarzour, H., Laouar, M. r., Khadir, M. T.: Towards a smart city ontology. In: Conference: 2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA). (2016). http://dx.doi.org/10.1109/AICCSA.2016.7945823
15. Komninos, N., Bratsas, C., Kakderi, C., Tsarchopoulos, P.: Smart city ontologies: Imroving the effectivenessof smart city applications: In: Journal of Smart Cities 1(1), pp. 1-16 . (2015). http://dx.doi.org/10.18063/JSC.2015.01.001
16. Ramaprasad, A., Sanchez-Ortiz, A., Syn, T.:A Unified Definition of a Smart City. In: EGOV 2017, LNCS 10428, pp. 13–24, (2017). http://dx.doi.org/10.1007/978-3-319-64677-0_2
17. Gyrard, A., Zimmermann, A., Sheth, A.: Building IoT-Based Applications for Smart Cities: How Can Ontology catalogs Help?. In: IEEE Internet of Things Journal 5(5), pp. 3978-3990. (2018). http://dx.doi.org/10.1109/JIOT.2018.2854278
18. Minon, R., Paterno, F., Arrue, M.: An Environment for Designing and Sharing Adaption Rules for Accessible Applications. In: EICS’13. (2013)
19. Hubl, M.: Adaption rule for simultaneous use of smart urban objects from a fairness perspective. In: Proceedings of the 20th IEEE International Conference on Business Informatics (CBI 2018), pp. 89-98. (2018). http://dx.doi.org/10.1109/CBI.2018.00019
20. Koch, M., Kötteritzsch, A., Fietkau, J.: Information radiators: using large screens and small devices to support awareness in urban space. In: Proceedings of the International Conference on Web Intelligence (WI '17), pp. 1080-1084 (2017). http://dx.doi.org/10.1145/3106426.3109039