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Semantic Technology based Business Matching for the Agriculture Sector
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Transcript of Semantic Technology based Business Matching for the Agriculture Sector
Version: 1.0
Semantic Technology
based Business
Matching for the
Agriculture Sector
Raja Mariam Ruzila Asmadi Ahmad Fadzly Zahari Nurul Adilla Mohamed Taib Ros’aleza Zarina Ishak Saniah Mohamed Supiah Mustaffa Dickson Lukose MIMOS Berhad
Keyword
Search
6 6
Red Chili
Chili seed
Manual
Competitions
Only 9 results came up, all related to the words ‘chili’ only mentioned in name or description
Target
7 7
Red Chili
Transportation
Packaging Tractor for rental
Chili seed
Restaurants
Kerepek Pedas
Market
fertilizer
Manual
Integrates knowledge from several domains and make use of business profiles and product offerings to find the match
Relationships
9
agrovoc:Services
agrovoc:Equip
ment
agrovoc:Pestici
de
agrovoc:FertilizersRecipes gr:BusinessEntity
Crop KBidealFor
require
makeUseOf
makeUseOf
relateTo
contain
require
consume
providemakeUseOf
hasFertilizer
agrovoc:Products
produce
idealFor
makeUseOf
hasRecipe
Primary Knowledge
Secondary Knowledge
Legend
Model Profile using FOAF
10
address, nature of business, contact
information FOAF
Converted into RDF Triple
AGRIBAZAAR
Model Products/Services Using
GoodRelations
11
Products/Services Converted into RDF Triple
AGRIBAZAAR
Implementation
15
Agribazaar repository Search for business matching
Ontologies
Results of Customer and Supplier
Business Matching Engine
Steps to find the supplier
16
Chicken Manure
Chili Farmer
Red Chili Chili Crop
Supplier of Chicken Manure
needs reference
produce produce
Steps to find the customer
17
Chicken Rice
Chili Farmer
Red Chili Recipe
Chicken Rice Restaurant
produce produce
has recipe contain
Fresh Chili
Manual Improved
Engine
20
Transportation
Packaging
fertilizer
Tractor for rental
Chili seed
Restaurants
Kerepek Pedas
Market
and over 40 other items from various
matched businesses even
without the word ‘chili’ mentioned
Future works
• Rules to identify business matching
• Evaluation on results accuracy
• Enrich supporting ontologies
– More crop knowledge bases
• Impact study
– Changes on community demographics,
results of retails and services
– Demand for public services
22