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Towards Personalized Smart City Guide Services in Future Internet Environments

Published: 18 May 2015 Publication History

Abstract

The FI-CONTENT project aims at establishing the foundation of a European infrastructure for developing and testing novel smart city services. The Smart City Services Platform will develop enabling technology for SMEs and developer to create services offering residents and visitors to cities smart services that enhance their city visit or daily life. We have made use of generic, specific and common enablers to develop a reference implementation, the Smart City Guide web app. The basic information is provided by the Open City Database, an open source specific enabler that can be used for any city in Europe. Recommendation as a Service is an enabler that can be applied to lots use cases, here we describe how we integrated it into the Smart City Guide. The uses cases will be iteratively improved and upgraded during regular iterative cycles based on feedback gained in lab and field trials at the experimentation sites. As the app is transferable to any city, it will be tested at a number of experimentation sites.

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Cited By

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  • (2017)Designing parallel data processing for enabling large-scale sensor applicationsPersonal and Ubiquitous Computing10.1007/s00779-017-1009-121:3(457-473)Online publication date: 1-Jun-2017
  • (2016)Social tagging recommendation system for smart city environments2016 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)10.1109/ICMEW.2016.7574690(1-6)Online publication date: Jul-2016

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  1. Towards Personalized Smart City Guide Services in Future Internet Environments

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      cover image ACM Other conferences
      WWW '15 Companion: Proceedings of the 24th International Conference on World Wide Web
      May 2015
      1602 pages
      ISBN:9781450334730
      DOI:10.1145/2740908

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      • IW3C2: International World Wide Web Conference Committee

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 18 May 2015

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      Author Tags

      1. city guide
      2. connected tv
      3. content enrichment
      4. open database
      5. recommendation
      6. smart city
      7. web app

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      • FIcontent 2

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      WWW '15
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      Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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      View all
      • (2017)Designing parallel data processing for enabling large-scale sensor applicationsPersonal and Ubiquitous Computing10.1007/s00779-017-1009-121:3(457-473)Online publication date: 1-Jun-2017
      • (2016)Social tagging recommendation system for smart city environments2016 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)10.1109/ICMEW.2016.7574690(1-6)Online publication date: Jul-2016

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