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Diagnostic Knowledge Representation

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Hewlett-Packard Laboratories. Slide 3. 3/22/99. Objectives. Present Hewlett-Packard experience in application of assorted knowledge ... – PowerPoint PPT presentation

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Title: Diagnostic Knowledge Representation


1
Diagnostic KnowledgeRepresentation
  • Practical Considerations

2
Presentation Outline
  • Objectives
  • Authors
  • Knowledge Engineering Lifecycles
  • Knowledge Representations
  • Art of Optimization
  • Open Research Issues
  • Group Discussion

3
Objectives
  • Present Hewlett-Packard experience in application
    of assorted knowledge representations for
    troubleshooting
  • Share Ideas within Community of Practice
  • Your ideas to complement ours

4
Authors
  • Patricia CornwellKnowledge Management Technology
    Strategy
  • Jaap SuermondtDecision Support Technology/BBN
  • George FormanDecision Support Technology/MBR,RBR,
    DG
  • Aparna SeetharamanDecision Support
    Technology/NN, GP
  • Evan KirshenbaumDecision Support Technology/GP-GA

5
Knowledge Engineering Lifecycles
  • Knowledge Acquisition
  • Knowledge Maintenance Support
  • Knowledge Utilization in Knowledge-Based Systems
  • Knowledge Use in Knowledge-Based Systems

6
Knowledge Acquisition
  • Domain Analysis Modeling
  • Domain Architecture
  • Acquisition
  • Codification
  • Import
  • Leverage
  • Discovery

7
Knowledge Maintenance Support
  • Maintenance
  • Inventory Management
  • Improvements
  • Quality Assurance
  • Functional Enhancement
  • Repurposing
  • Utilization Support
  • Asset Access/Selection
  • Knowledge Views
  • Usage Consulting

8
Knowledge Utilization in Knowledge-Based System
  • Solution Engineering
  • Solution Architecting
  • Choice of Reasoning Method(s)
  • Choice of Control Flow
  • Knowledge Utilization
  • Solution Requirements
  • Knowledge Identification
  • Knowledge Selection
  • Knowledge Tailoring
  • Knowledge Integration into Solution Architecture

9
Knowledge Use in Knowledge-Based System
  • Application Use
  • Feedback
  • Usage Support
  • Peers
  • On-line Assistants
  • Documentation
  • Usage Support Staff

10
Knowledge Representations
  • Natural Language
  • NL within Topics Hierarchy or Keyword Sort
  • Decision Graphs
  • Rule Bases
  • Case Bases
  • Models
  • Bayesian Belief Networks
  • Neural Networks

11
KRR across a Lifecycle
  • Knowledge Acquisition
  • Ease of authoring/importing/leveraging
  • Adequacy for representing knowledge
  • Knowledge Maintenance Support
  • Ease of modification
  • Ease of maintaining consistency completeness
  • Ease of verification validation
  • Knowledge Utilization (by solution creators)
  • Ease of identification selection
  • Ease of tailoring
  • Ease of integration
  • Applicability
  • Knowledge Use (by end users)
  • Relevance
  • Usefulness
  • Match to task
  • Understandability
  • Performance/Expectations

12
Non-Engineering Issues
  • Business Goals Strategy
  • Knowledge Management Strategy
  • Knowledge Management Process
  • Organization Design
  • Resources
  • People
  • Infrastructure
  • Knowledge Sources

13
Art of Optimization
  • Pick Critical Few Criteria (lt 10)
  • Prioritize Identify What Counts as Success
  • Experiment
  • Hypothesis
  • Metrics
  • Use
  • Data Analysis (with stakeholders, colleagues)
  • Conclusions
  • Repeat

14
Open Research Issues
  • Authoring Technology
  • Hybrid Knowledge Representations
  • Multi-modal Reasoning
  • Knowledge Representation Transformation
  • Content-Based Search
  • Knowledge Base Constraint Maintenance

15
Group Discussion
  • Share Ideas within Community of Practice
  • Skillset for
  • capturing diagnostic knowledge in AI knowledge
    representations
  • designing appropriate reasoning engines
  • maintaining knowledge bases
  • utilizing knowledge bases reasoning engines
  • Adequacy of KR for diagnosis
  • Use by customer support engineer
  • Use by IT engineer
  • Use by help desk assistant
  • Use by end user

16
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