際際滷

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Group: The Semantic 4
I need 
an 
Aquarium! 
Lets Consult some stores 
and select some fishes 
Empty Aquarium  
Customer
I Want an 
Aquarium ! 
Semantic 
Aquarium 
Compatibility check 
Solution 
The criteria are: 
 Temperature 
 Predator 
 Food 
 Ecosystem: Sea , lake,  
 Dimension/ Size 
Customer
I want Nemo! 
I want a fish that will not eat my Nemo 
Can I put Dolly with Nemo? 
I dont want to buy different kind of food for my fish 
I have a small Tank what about buying small fish? 
I love orange colour 
I do not like Bruce, he will just eat them all and 
maybe me also
User 
Interface 
Knowledge Base 
Query 
API 
Inter-Linking 
Data
IMarine DB Pedia 
owl: sameAs
Shop DB IMarine 
tloCore: LX3_has_type 
Fish x 
Thunnus 
Albacares 
Has_type 
SameAquaCore: 
hasFood 
Fake Food 
SameAquaCore: 
haColour 
red 
SameAquaCore: 
hasSize 
red
Group: The semantic 4
Recommendation System based on user 
preferences and profiles 
Integrating with other datasets: 
Plants, Food, ... 
Music, clothes,  
FishBook: bringing fish enthousiasits together!
Semantic Aquarium - ESWC SSchool 14 - Student project

More Related Content

Semantic Aquarium - ESWC SSchool 14 - Student project

  • 2. I need an Aquarium! Lets Consult some stores and select some fishes Empty Aquarium Customer
  • 3. I Want an Aquarium ! Semantic Aquarium Compatibility check Solution The criteria are: Temperature Predator Food Ecosystem: Sea , lake, Dimension/ Size Customer
  • 4. I want Nemo! I want a fish that will not eat my Nemo Can I put Dolly with Nemo? I dont want to buy different kind of food for my fish I have a small Tank what about buying small fish? I love orange colour I do not like Bruce, he will just eat them all and maybe me also
  • 5. User Interface Knowledge Base Query API Inter-Linking Data
  • 6. IMarine DB Pedia owl: sameAs
  • 7. Shop DB IMarine tloCore: LX3_has_type Fish x Thunnus Albacares Has_type SameAquaCore: hasFood Fake Food SameAquaCore: haColour red SameAquaCore: hasSize red
  • 9. Recommendation System based on user preferences and profiles Integrating with other datasets: Plants, Food, ... Music, clothes, FishBook: bringing fish enthousiasits together!