managing agriculture knowledgethrough localized communityexpert system managing agriculture...
DESCRIPTION
What are the components of a workable model for building efficient Knowledge Bases for solving problems in specific knowledge domains through the use of Expert Systems? To what extent do the model components affect each other? What is the expertise needed for managing and sustaining each of the model components? What are the criteria of the knowledge domains that could be best encoded through Expert Systems? What are the selection criteria of the knowledge experts who can effectively encode their expertise as Expert Systems? To what extent is the knowledge engineering methodology adopted in the project effective in capturing and encoding expertise as rules in knowledge bases? What are the advantages and disadvantages of the available Expert System technologies? On what basis the decision was taken for the expert system technology used in this project? What are the competencies and skills required for the efficient use of Expert Systems? How could the challenge of upgrading and sustaining Expert Systems be dealt with? Research QuestionsTRANSCRIPT
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Managing Agriculture Knowledge Through Localized Community Expert System
A Research Project
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• Availability of user-friendly technology • Building & maintaining expert systems is a process
with two axes: Knowledge Acquisition and Knowledge Engineering
• Many components come into play creating a web of factors that could affect the efficiency of expert systems.
• The need not to just build an expert system but to document how to go about building a valid and efficient expert system.
Researching A Process….Evaluating A Product
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What are the components of a workable model for building efficient Knowledge Bases for solving problems in specific knowledge domains through the use of Expert Systems?
To what extent do the model components affect each other? What is the expertise needed for managing and sustaining each of the model components?
What are the criteria of the knowledge domains that could be best encoded through Expert Systems? What are the selection criteria of the knowledge experts who can effectively encode their expertise as
Expert Systems?
To what extent is the knowledge engineering methodology adopted in the project effective in capturing and encoding expertise as rules in knowledge bases?
What are the advantages and disadvantages of the available Expert System technologies? On what basis
the decision was taken for the expert system technology used in this project? What are the competencies and skills required for the efficient use of Expert Systems? How could the challenge of upgrading and sustaining Expert Systems be dealt with?
Research Questions
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• Adopting and adapting expert system tool
• Identifying a workable model for building efficient expert systems.
• Researching conditions of system components and the relationships among them.
• Consolidating lessons learned and best practices. • Producing field-tested prototypes to use in advocacy and
capacity building
Pilot Project
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• 6 Capacity Building and Validation Workshops• 50+ participants • 37 Expert Systems developed • 4 Focus group meetings with knowledge experts • 1 Focus group meeting with CLAES • Tool Questionnaire • Training Questionnaire• Peer Review Questionnaire • Expert System Rating Scale
Researching A Process……
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• The developed tool is user friendly• The implementation of the expert systems
has led to add some features to the developed tool (e.g. links to images, and textual document for symptoms and causes, systems directory, list of experts) • Some rules are added to handle “no
diagnosis”.• User’s rating and comments
The Expert System Tool
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Workable Framework for Building
Efficient Expert Systems
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Identification of Knowledge
Experts
Advocating Business Model
Showing Prototypes
Setting Requirements
Training on Knowledge
Engineering
Establishing Follow-up
Mechanism
Developing/Reviewing& Updating Expert
System
Validation & Verification
(internal/External)
Community Rating
ADVOCACY BUILDING CAPACITY
CONSTRUCTION
As Sequential as A, B, C……..
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• ADVOCACY - Advocacy Message - Advocacy Channels - Showing not Telling / Experiential not Theoretical
• BUILDING CAPACITY- Clear requirements - Training Approach - Follow-up Mechanism
• CONSTRUCTION - Building & Testing
As Sequential as A, B, C……..
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Advocacy Identification of Knowledge
Experts
Advocating Business Model
Showing Prototypes
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Advocacy Identification of Knowledge Experts Familiarity with problems /language in the field
Access to in-depth specialized, valid, up-to-date and complete knowledge
Logical Thinking
Knowledge Acquisition / analysis
Design Knowledge bases
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Advocacy
Advocating Business Model
Clear Return on Investment
Fierce Competition
Users’ needs & satisfaction
Quality of Input
Different advocacy channels
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Advocacy
Showing Prototypes
Showing not Telling
Model Adaptation/Variation
Best Practice Prototype
Expert System Advocates/Other Advocacy Channels
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Building Capacity Setting Requirements
Training on Knowledge Engineering
Establishing Follow-up Mechanism
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Building Capacity Setting Requirements
Avail Relevant Knowledge (texts/photos)
Classifying /Sorting Knowledge
Decide on Scope
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Building Capacity
Training on Knowledge Engineering
Knowledge Engineering
Knowledge bases
Modeling
Completing/reviewing the expert system
Start Feeding Knowledge bases to the tool
Immediate Feedback
‘How-to validate and verify
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Building Capacity
Establishing Follow-up Mechanism
Criteria/Index as frame of reference
Announced Follow-up/technical support plans
Motivation/Incentives
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Construction Developing/Reviewing & Updating Expert Systems
Validation & Verification
Community Rating
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Construction Developing/Reviewing & Updating Expert Systems
Clarity of questions
Classification of answers
Order/number of Questions
Use/quality of photos
System Review
System Update
Responding to the interest of the growers
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Construction
Validation & Verification
Real-time Test cases
Two cases/ rule (+/-)
Adaptation in light of test cases
Users’ feedback
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Construction
Community Rating
Competition & Business Model
Users’ rating & Comments
Monitoring traffic
Role modeling
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Hyperlink of list of Expert Systems
Evaluating products……
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• Follow-up efforts (facebook groups, messaging, individual contacts)
• CLAES validation and verification reports
• Knowledge experts evaluation (rating and comments)
Evaluating Products
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• Building experts system is a trainable process • Identified critical factors that affect system efficiency
and validity
• Factors taken into account in planning Advocacy, Capacity Building and Construction Phases of the process
Concluding Remarks
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Project Outputs: • User-friendly expert system tool• 37 expert systems at various degrees of
completion • Training Package • ICT Skills KIT • Process reports• Process/Working Model document• On-going feedback collection mechanism
Concluding Remarks
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• Expert System Review
• CLAES technical support (end of Sept.) • Peer reviewing continue
• Community Rating (Tool & Expert System) • ICT Trust Fund customers-support
Next Steps