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Keep Fit(a Bit) in Kalamaki 
First web based* attempt to make Kalamaki a „Smart City“ 
* to be extended to an app-based version after fundings ;) 
Proudly presented by FitBeople: 
Emna 
Elias 
Iacopo 
Maxim
The Story of Fred 
• 
Fred lives in Dublin 
• 
Dublin is a smart city * 
• 
Fred is a sports enthusiast 
• 
Observes his energy consumption/gain 
• 
Fred is going on holidays to Kalamaki 
• 
Of course Fred wants to stay fit 
• 
But... 
How to stay fit 
In Kalamaki?
What is a smart city? 
Source: http://www.urenio.org/wp-content/uploads/2011/01/ibm_smart_cities_new.jpg 
Food
Goal: „Personalized health planner“ 
Personalized healt 
planner 
Age, Height, Weight, GenderPosition in Kalamaki 
Integrated view of: 
Locations of Restaurants 
Dishes of restaurants 
Energy of dishes 
Price of dishes 
Walking distances between different places 
Overview of own energy balance
What did we do? 
• 
Data collection 
• 
RDF data (Total steps per day -FitBit API) 
• 
Non-digital data (restaurant menus) 
• 
HTML data (calories of dishes) 
• 
Geographic data (OSM)
What did we do? 
• 
Data integration 
• 
RDFisation of non-digital data andother data 
• 
Stored it in (local) triple store 
• 
SPARQL querys over multiple datasets 
• 
Implementation of web-based prototype 
• 
Computations of calories 
• 
Integration with backend 
• 
Graphical user interface
Demo
Future steps 
• 
Publishing Kalamaki data on OSM (Restaurants, Prices, Calories, etc.) 
• 
Generalization/integration of real smart city 
• 
Social features 
• 
Share activities and consumption 
• 
Comparewith other users 
• 
Exchange „lifestyle“ a) „I lost ...kg by doing ...“ b) „Wow, I live there too, I‘ll do the same thing“ 
• 
Including weather data 
• 
Including health data (illnesses, deseases, alergies)
Thank you! 
The first team ever, enabling Kalamaki a „smart city“!

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Keep fit (a bit) - ESWC SSchool 14 - Student project

  • 1. Keep Fit(a Bit) in Kalamaki First web based* attempt to make Kalamaki a „Smart City“ * to be extended to an app-based version after fundings ;) Proudly presented by FitBeople: Emna Elias Iacopo Maxim
  • 2. The Story of Fred • Fred lives in Dublin • Dublin is a smart city * • Fred is a sports enthusiast • Observes his energy consumption/gain • Fred is going on holidays to Kalamaki • Of course Fred wants to stay fit • But... How to stay fit In Kalamaki?
  • 3. What is a smart city? Source: http://www.urenio.org/wp-content/uploads/2011/01/ibm_smart_cities_new.jpg Food
  • 4. Goal: „Personalized health planner“ Personalized healt planner Age, Height, Weight, GenderPosition in Kalamaki Integrated view of: Locations of Restaurants Dishes of restaurants Energy of dishes Price of dishes Walking distances between different places Overview of own energy balance
  • 5. What did we do? • Data collection • RDF data (Total steps per day -FitBit API) • Non-digital data (restaurant menus) • HTML data (calories of dishes) • Geographic data (OSM)
  • 6. What did we do? • Data integration • RDFisation of non-digital data andother data • Stored it in (local) triple store • SPARQL querys over multiple datasets • Implementation of web-based prototype • Computations of calories • Integration with backend • Graphical user interface
  • 8. Future steps • Publishing Kalamaki data on OSM (Restaurants, Prices, Calories, etc.) • Generalization/integration of real smart city • Social features • Share activities and consumption • Comparewith other users • Exchange „lifestyle“ a) „I lost ...kg by doing ...“ b) „Wow, I live there too, I‘ll do the same thing“ • Including weather data • Including health data (illnesses, deseases, alergies)
  • 9. Thank you! The first team ever, enabling Kalamaki a „smart city“!