An adaptive I-Parking application: An ontology-based approach

Adnane Ghannem, Mohamed Salah Hamdi, Makram Soui, Hany Ammar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Complex adaptive systems are in the heart of smart city operations. Developing such systems is very challenging. Current user-driven techniques for modeling the system domain are not sufficient for supporting the development of such systems. Additionally, in the majority of cases, existing work focused on user interface adaptation without considering content personalization. In this paper, we propose the use of ontologies for dealing with the adaptation issue, while taking into consideration both content and container of the interface. To this end, we extend the model that was proposed in our previous work, and that focused only on modeling the 'Environment' dimension, by adding three other dimensions, namely, 'Devices', 'Users', and 'Services' (EDUS). We validate our proposal on an I-Parking smart phone application that offers personalized and context-aware information to the users.

Original languageEnglish
Title of host publicationFTC 2016 - Proceedings of Future Technologies Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages777-785
Number of pages9
ISBN (Electronic)9781509041718
DOIs
StatePublished - 17 Jan 2017
Externally publishedYes
Event2016 Future Technologies Conference, FTC 2016 - San Francisco, United States
Duration: 6 Dec 20167 Dec 2016

Publication series

NameFTC 2016 - Proceedings of Future Technologies Conference

Conference

Conference2016 Future Technologies Conference, FTC 2016
Country/TerritoryUnited States
CitySan Francisco
Period6/12/167/12/16

Keywords

  • Context-awareness
  • I-Parking
  • Ontology
  • Personalization
  • Service Adaptation
  • Smart City

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