Implementation of Knowledge Management Techniques at EUSC by lzi10112

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									  Implementation of Knowledge
Management Techniques at EUSC


 Joint ESA-EUSC Knowledge Management Seminar
                    Frascati 5-6 December 2002
            Nature of Imagery Analysis
            Nature of Imagery Analysis




I Imagery analysis is, to a great extent,
  interpretation of situations/events
  characterized in space and time
I Imagery analysis requires (real) complex
  knowledge
 Imagery Analysis – Example 1
Imagery Analysis – Example 1
 Imagery Analysis – Example 2
Imagery Analysis – Example 2
 Imagery Analysis – Example 3
Imagery Analysis – Example 3
                    Understanding Knowledge
                    Understanding Knowledge



I Knowledge resides in individuals
I Knowledge turns into a community asset if
  conditions exist for:
    • negotiating “interpretation schemes”
    • sharing information
I (Real) knowledge cannot be separated from the
  context
I (Real) knowledge cannot be be separated from
  the community
                   Understanding Knowledge
                   Understanding Knowledge



I   Knowledge is intrinsically not static:
    • attempts to rigidly validate, homogenise, purify or
      categorize are difficult to implement and
      detrimental to flexibility and innovation.
    • centralized transparent and shareable knowledge
      structures are not expected to stably work.
                   Knowledge Management:
                   Knowledge Management:
                        How we use it
                       How we use it




I   Use of technology to make information relevant
    and accessible, at the right time, wherever that
    information may reside
                    Knowledge Management:
                   Knowledge Management:
                   Expected Areas of Benefit
                   Expected Areas of Benefit

I   Reliability and consistency:
    •   Collateral data management
    •   Homogeneity of result
I   Performance:
    • Reduction of response time
    • Analysis of huge datasets
I   Training:
    • Knowledge continuous improvement and
      capitalization
              Knowledge Management
              Knowledge Management
              Current Areas of Activity
              Current Areas of Activity


I Structured Repositories
I Taxonomies
I Communication Infrastructures
I Information Retrieval Tools
I Cooperation activities
                        The Knowledge Framework
                        The Knowledge Framework
                        Organizational Components
                        Organizational Components

• The Actors:
   • Analysts (Image Analyst, Geomatics Specialists): submitting
     knowledge -valuable information for introduction in a central portal
   • Experts: typically IAs specialized in a particular field who validates
     new information to be introduced/referred in the portal
   • Data Manager: ensuring availability and overall consistency
     (standardization) of the repository
   • Training Section: packaging best practices, list of examples,
     training modules/units available on-line.
• No specific roles (e.g.: editors)
• No dedicated processes: interception and capitalization of
  knowledge should be the result of the routine work
Knowledge Management
Knowledge Management
 Technical Components
Technical Components

								
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