1 knowledge management of durum wheat processing: from research to industry r. thomopoulos, b cuq,...
TRANSCRIPT
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Knowledge Management of Durum Wheat
Processing: From Research to
Industry
R. Thomopoulos, B Cuq, C. Molla, C Raz & J Abecassis
Agro.M - INRA Montpellier - UMR IATE
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The Need for Knowledge Management
Data on durum wheat-based foods processing and quality are…
- Numerous- Incomplete- Miscellaneous- Sometimes divergent
Need of data integration and knowledge representation
Problems about data integration and knowledge
management
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Objectives and Goals
Objectives: Research project of global
data integration and knowledge representation in the field of durum wheat based foods
Development of a specific computerized
Decision-Support –System (DSS)
by cereal scientists and software makers
Academia
&
IndustryKnowledge about durum wheat based-food
processing and qualities
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Three Successive Actions (1)
1. DATA IDENTIFICATION AND CLASSIFICATION
Determination of number & type of the available data about durum wheat based-food (processing & qualities)
2. DATA INTEGRATION
3. KNOWLEDGE MANAGEMENT
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Three Successive Actions (2)
2. DATA INTEGRATIONDevelopment of a specific computerized decision-support-
system to integrate all the available data
1. DATA IDENTIFICATION
3. KNOWLEDGE MANAGEMENT
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Three Successive Actions (3)
3. KNOWLEDGE MANAGEMENTTo help several users
(breeders, scientists, industry, public institutions)
1. DATA IDENTIFICATON
2. DATA INTEGRATION
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1st task = Data Identification
27 000 documents about processing and organoleptic, nutritional, hygienic characteristics
of durum wheat-based foods(publication, review, patent,…)
Methods Results References
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2nd task = Data Integration
GRAIN SEMOLINA FOOD
16 nutritional characteristics
20 organoleptic characteristics
10 hygienic characteristics
28 unit operations
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28 unit operationsX
46 characteristics=
1288 cells
GRAIN SEMOLINA FOOD
28 unit operations
16 nutritional characteristics
20 organoleptic characteristics
10 hygienic characteristics
2nd task = Data Integration
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(2nd task) Computerized Decision Support System
Qualities Unit operations
Qualitie
s
Unit operations
OUTPUT
INPUT
INTEGRATION SYSTEM
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Qualities Impact of 1 unit
operation on 1
quality
Unit operations
Qualitie
s
Unit operations
OUTPUT
INPUT
INTEGRATION SYSTEM
(2nd task) Computerized Decision Support System
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Qualities Impact of 1 unit
operation on 1 quality
Unit operations
Foods =
Σ units operations
Qualitie
s
Unit operations
Foods
OUTPUT
INPUT
INTEGRATION SYSTEM
(2nd task) Computerized Decision Support System
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Bibliographic references
Scientific documents
Qualities Impact of 1 unit
operation on 1 quality
Unit operations
Foods =
Σ units operations
Qualitie
s
Unit operations
Foods
OUTPUT
INPUT
INTEGRATION SYSTEM
(2nd task) Computerized Decision Support System
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Bibliographic references
Scientific documents
Qualities Impact of 1 unit
operation on 1 quality
Unit operations
Foods =
Σ units operations
Qualitie
s
Unit operations
Foods
OUTPUT
Description
Integration
Modelling
INPUT
INTEGRATION SYSTEM
(2nd task) Computerized Decision Support System
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(2nd task) Quality Identification.ex = Nutritional Characteristics
8 groups of nutritional components
- Starch- Mono- & oligo-saccharides -Fibres- Proteins- Lipids- Vitamins- Minerals- Polyphenols
2 nutritional values =
Component content +
Component property
16 nutritional characteristics
x
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2. Sub-components (and evaluation parameters)
3. Nutritional value (and units)
(2nd task) Quality Identification.ex = Nutritional Characteristics
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1st transformation
2nd transformation
Wheat grain storageGrain cleaningTemperingParboiling DebranningMillingFlour storage
Ingredient additionHydrationMixingKneadingFermentationAgglomerationOven cokingExtrusion (low
temperature)SheetingDryingExtrusion - cookingCooking in waterSteam cookingExpansionAddition of other foodsPackagingThermal treatmentFinal product storage
25 unit operations (+ 3 products characteristics)
(2nd task) Unit Operation Identification.ex = From Wheat to End-products
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1. Name and definition of unit operations
2. Unit operation parameters (and units)
(2nd task) Unit Operation Identification.ex = Cooking or Pre-cooking
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1. Effect of unit operation on nutritional quality
2. Impact of unit operation parameters
3. Interactions with other unit operations
4. Cited literature
5. Experimental data
6. Mathematical model
(2nd task) Impact of Operation on Quality(data integration: 6 parts)
Unstructured forms
(text files)
Structured forms
Model forms
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(2nd task) Impact of Operation on Quality(Data Integration: Unstructured Form)
Example of text form : Effect of unit operation on nutritional quality
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Experimental data
Component name
Values (before
Unit Op)
Values (after
Unit Op)
% effect of Unit operation
Ex : Structured form
(2nd task) Impact of Operation on Quality(Data Integration: Structured Form)
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Tools and Technologies
Necessity of a computerized system in order to :
Allow remote data inputStore the data (structured and weakly structured)Manage data processing (computing, statistics, prediction)Present information to users in an ergonomic wayManage several user profiles (Academia and Industry)Allow remote consultation
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Expert who enters the
data=
CLIENT device
Client/Server System Architecture
User (Academia or
Industry)=
CLIENT device
PRIVILEGED ACCESSInput / consultation
LIMITED ACCESSConsultation only
Internet
or
Intranet
SYSTEM
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Expert who enters the
data=
CLIENT device
Client/server system architecture
SERVER device
User (Academia or
Industry)=
CLIENT device
WebServer
(Apache)
Application
(PHP Program)
Internetor
Intranet
Structured data(MySQL
relational database)
WeaklyStructured
data(XML files)
PRIVILEGED ACCESSInput / consultation
LIMITED ACCESSConsultation only
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(2nd task) OUPUTKnowledge Description and Valorisation
Available knowledge
Specific Reviews
Bibliographic lists
Experimental data
Models and simulations
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Impact of 1 unit operation on 1
quality
Unit Op
Qlty
Impact of process (∑ unit op.) on 1
quality
Impact of process (∑ unit op.) on
several qualities
Unit Op
Qlty
Unit Op
Qlty
(2nd task) OUPUTKnowledge Description and Valorisation
Impact of 1 unit operation on
several qualitiesUnit Op
Qlty
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Scientific updateEx : Changes in vitamin status
during Pasta extrusion
Unit operation simulationEx.: Description of the changes in
pasta firmness during cooking
(2nd task) OUPUTKnowledge Description and Valorisation
Innovation and formulation
Prediction of new ingredients behaviour
Identification of critical unit operation
in regards with quality loss
Simulation of process behaviour for new
wheat cultivars
Nutritional data basesIntegration of positive and negative effects of different unit operations to
define and to optimize the best process conditions to produce the best product
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HIGH POTENTIAL (!!!)
HUGE WORK (!!!)
To set up an international scientific network to complete the Knowledge Database
To exploit the data and to improve our knowledge in various directions
To strengthen relationships between academic research and industry
Conclusions & Perspectives
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L’intelligence d’un homme se voit à l’usage qu’il fait de ce qu’il sait
C’est un produit à considérer :Savoir x Intelligence = Valeur
Paul Valéry