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Semantic Aquarium - ESWC SSchool 14 - Student project
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Semantic Aquarium
Group: The Semantic 4
Motivation: Without Linked Data
I needan Aquarium!
Let‘s Consult some stores and select some fishes
Empty Aquarium Customer
Motivation: With Linked Data
I Want an Aquarium !
Semantic Aquarium
Compatibility check
Solution
The criteria are:
Temperature Predator Food Ecosystem: Sea , lake, … Dimension/ Size
Customer
How To answer these Questions
I want Nemo!I want a fish that will not eat my NemoCan I put Dolly with Nemo?I dont want to buy different kind of food for my fishI 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
Semantic Aquarium Architecture
User Interface
Knowledge Base
Query API
Shop DBIMarineDBpedia
Inter-Linking Data
JENA FedX
JSP/Servlets
Virtuoso
Inter-Linking Data 1/2
SPARQL Queryto extract common fish names
IMarine DB Pedia
SPARQL Queryto extract RDFS labelsof species belongs to fish Ontology
owl: sameAs
Inter- Linking Data 2/2
Shop DB IMarine
tloCore: LX3_has_typeIndividual Fish
Fish x Thunnus Albacares
Has_type
Fake Food
SameAquaCore: hasFood
Ex: fishbase: Thunnus_albacares
„red“
SameAquaCore: haColour
„red“
SameAquaCore: hasSize
The Semantic Aquarium
Group: The semantic 4
Demo
Future Work
Recommendation System based on user preferences and profilesIntegrating with other datasets:
Plants, Food, ... Music, clothes, …
FishBook: bringing fish enthousiasits together!
Thanks