Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
Keep Fit(a Bit) in Kalamaki 
First web based* attempt to make Kalamaki a „Smart City“ 
* to be extended to an app-based ve...
The Story of Fred 
• 
Fred lives in Dublin 
• 
Dublin is a smart city * 
• 
Fred is a sports enthusiast 
• 
Observes his e...
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 
Integra...
What did we do? 
• 
Data collection 
• 
RDF data (Total steps per day -FitBit API) 
• 
Non-digital data (restaurant menus)...
What did we do? 
• 
Data integration 
• 
RDFisation of non-digital data andother data 
• 
Stored it in (local) triple stor...
Demo
Future steps 
• 
Publishing Kalamaki data on OSM (Restaurants, Prices, Calories, etc.) 
• 
Generalization/integration of r...
Thank you! 
The first team ever, enabling Kalamaki a „smart city“!
Upcoming SlideShare
Loading in …5
×

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

509 views

Published on

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

Published in: Science
  • Be the first to comment

  • Be the first to like this

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

  1. 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. 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. 3. What is a smart city? Source: http://www.urenio.org/wp-content/uploads/2011/01/ibm_smart_cities_new.jpg Food
  4. 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. 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. 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
  7. 7. Demo
  8. 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. 9. Thank you! The first team ever, enabling Kalamaki a „smart city“!

×