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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

Semantic Technology based Business Matching for the Agriculture Sector

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Presentation held by Raja Mariam Ruzila, Asmadi Ahmad, Fadzly Zahari, Nurul Adilla Mohamed Taib, Ros’aleza Zarina Ishak, Saniah Mohamed, Supiah Mustaffa, Dickson Lukose at the Agricultural Ontology Service (AOS) Workshop 2012 in Kutching, Sarawak, Malaysia from September 3 - 4, 2012

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Page 1: 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

Page 2: Semantic Technology based Business Matching for the Agriculture Sector

Content • Overview

• Modeling

• Implementation

• Results

• Future Works

Page 3: Semantic Technology based Business Matching for the Agriculture Sector

Content • Overview

• Modeling

• Implementation

• Results

• Future Works

Page 4: Semantic Technology based Business Matching for the Agriculture Sector

What is Business Matching

4

Page 5: Semantic Technology based Business Matching for the Agriculture Sector

What is Agribazaar (AB)

5

Page 6: Semantic Technology based Business Matching for the Agriculture Sector

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

Page 7: Semantic Technology based Business Matching for the Agriculture Sector

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

Page 8: Semantic Technology based Business Matching for the Agriculture Sector

Content • Overview

• Modeling

• Implementation

• Results

• Future Works

Page 9: Semantic Technology based Business Matching for the Agriculture Sector

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

Page 10: Semantic Technology based Business Matching for the Agriculture Sector

Model Profile using FOAF

10

address, nature of business, contact

information FOAF

Converted into RDF Triple

AGRIBAZAAR

Page 11: Semantic Technology based Business Matching for the Agriculture Sector

Model Products/Services Using

GoodRelations

11

Products/Services Converted into RDF Triple

AGRIBAZAAR

Page 12: Semantic Technology based Business Matching for the Agriculture Sector

Model the Crops using AGROVOC

12

Planting Manual

Page 13: Semantic Technology based Business Matching for the Agriculture Sector

Model the Recipe

13

Page 14: Semantic Technology based Business Matching for the Agriculture Sector

Content • Overview

• Modeling

• Implementation

• Results

• Future Works

Page 15: Semantic Technology based Business Matching for the Agriculture Sector

Implementation

15

Agribazaar repository Search for business matching

Ontologies

Results of Customer and Supplier

Business Matching Engine

Page 16: Semantic Technology based Business Matching for the Agriculture Sector

Steps to find the supplier

16

Chicken Manure

Chili Farmer

Red Chili Chili Crop

Supplier of Chicken Manure

needs reference

produce produce

Page 17: Semantic Technology based Business Matching for the Agriculture Sector

Steps to find the customer

17

Chicken Rice

Chili Farmer

Red Chili Recipe

Chicken Rice Restaurant

produce produce

has recipe contain

Page 18: Semantic Technology based Business Matching for the Agriculture Sector

Content • Overview

• Modeling

• Implementation

• Results

• Future Works

Page 19: Semantic Technology based Business Matching for the Agriculture Sector

Sample of the result

19

The business match locations can be shown on a google map

Page 20: Semantic Technology based Business Matching for the Agriculture Sector

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

Page 21: Semantic Technology based Business Matching for the Agriculture Sector

Content • Overview

• Modeling

• Implementation

• Results

• Future Works

Page 22: Semantic Technology based Business Matching for the Agriculture Sector

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

Page 23: Semantic Technology based Business Matching for the Agriculture Sector

23

QUESTION AND

ANSWER

Page 24: Semantic Technology based Business Matching for the Agriculture Sector

Version: 1.0

Raja Mariam Ruzila Asmadi Ahmad Fadzly Zahari Nurul Adilla Mohamed Taib Ros’aleza Zarina Ishak Saniah Mohamed Supiah Mustaffa Dickson Lukose

TERIMA KASIH T H A N K YO U