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Semantic Technologies for Healthy Lifestyle Monitoring

  • Mauro DragoniEmail author
  • Marco Rospocher
  • Tania Bailoni
  • Rosa Maimone
  • Claudio Eccher
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11137)

Abstract

People are nowadays well aware that adopting healthy lifestyles, i.e., a combination of correct diet and adequate physical activity, may significantly contribute to the prevention of chronic diseases. We present the use of Semantic Web technologies to build a system for supporting and motivating people in following healthy lifestyles. Semantic technologies are used for modeling all relevant information, and for fostering reasoning activities by combining real-time user-generated data and domain expert knowledge. The proposed solution is validated in a realistic scenario and lessons learned from this experience are reported.

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Mauro Dragoni
    • 1
    Email author
  • Marco Rospocher
    • 1
  • Tania Bailoni
    • 1
  • Rosa Maimone
    • 1
  • Claudio Eccher
    • 1
  1. 1.Fondazione Bruno KesslerTrentoItaly

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