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IRAS

IRAS. From Information Management to Knowledge Creation. Windhoek, August 2003. Barbara Paterson – Transboundary Mammal Project. Natural Language Based. Supports Knowledge Creation. The Transboundary Mammal Project. Fulfills Technical Requirements. Knowledge Representation.

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IRAS

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  1. IRAS From Information Management to Knowledge Creation Windhoek, August 2003 Barbara Paterson – Transboundary Mammal Project

  2. Natural Language Based Supports Knowledge Creation The Transboundary Mammal Project Fulfills Technical Requirements Knowledge Representation Overview

  3. Country wide vision, targets & general strategy Regional vision and targets National Strategy Neighbouring countries Local Management local vision, targets & specific strategy The Transboundary Mammal Project Co-operation Communication Project Aim:To link local, national and transboundary strategies for selected endangered and high value mammal species

  4. The Transboundary Mammal Project - Objectives Transboundary Collaboration Species Management Plans Decision Support System Prototype Species Overviews Information System

  5. Progress to date Transboundary Workshop Draft Species Management Plans for Buffalo, Roan, Sable, Tsessebe Wildlife Translocations Buffalo, Roan, Sable, Tsessebe Reports IRAS

  6. Present distribution in Namibia Limiting factors MET vision Objectives Strategy Non-linearity of hypermedia documents requires explicit structure Structure Table of Contents Overview Buffalo:

  7. Why a Hypermedia System? Supports Knowledge Creation Natural Language Based Knowledge Representation Fulfills Technical Requirements

  8. Technical Requirements for Wildlife Management Information Systems • Compatibility • Ease of use • Affordability • Inclusiveness • Co-ownership IRAS WWW standard As easy to use as a website No special software required Any e-document can be linked Reader as author

  9. Why a Hypermedia System? Fulfills Technical Requirements Knowledge Representation • Compatibility • Ease of Use • Affordability • Inclusiveness • Co-ownership

  10. KNOWLEDGE INFORMATION DATA Old knowledge Forms basis of new knowledge Learning subjective Perception objective

  11. Species Documents • Draw on observations • Put these data into meaningful context • Interpret data based on experience and • Knowledge • Are subjective Require knowledge representation rather than information processing tool

  12. Why Hypermedia? Natural Language Based • Species Documents contain • subjective interpretations based on knowledge • expertise • Compatibility • Ease of Use • Affordability • Inclusiveness • Co-ownership Knowledge Representation Technical Requirements fulfilled

  13. Wildlife Management Knowledge Quantitative and qualitative models • Predictive • Prescriptive • Descriptive Decision support systems Text Documents Word Processor is de facto knowledge management tool

  14. Multiple definitions Ambiguous Implicit meanings allowed Robust Single definitions Precise Implicit meanings not allowed Brittle Language basedrepresentations Formal representations

  15. Strength of Hypermedia • Multi-linear • User can access information in the order most appropriate for his/her purpose • Each information chunk is self-contained • Associative network enhances comprehension

  16. Why Hypermedia? • Great generality • Robust • Allows implicit meanings Supports Knowledge Creation Natural Language Based • Species Documents contain • subjective interpretations based on knowledge • expertise • Compatibility • Ease of Use • Affordability • Inclusiveness • Co-ownership Knowledge Representation Technical Requirements fulfilled

  17. Knowledge Generation Knowledge Representation Knowledge Communication Knowledge Application Munich Model of Knowledge Management Research Strategy Adjust Adaptive Management Monitor Implement

  18. Knowledge Management is not only a question of technology Technology Organisation Knowledge Management Human Society Adapted from Reinmann-Rothmeier & Mandl

  19. Dynamic representation of current knowledge on species management New perspectives New problem perceptions Non linearity of hypermedia allows dynamic debate instead of static consensus oriented information system ideas reports comments presentations

  20. Great generality • Robust • Allows implicit meanings Supports Knowledge Creation • New knowledge is based on old knowledge • Allows user participation • Provides forum for dynamic debate Natural Language Based • Species Documents contain • subjective interpretations based on knowledge • expertise • Compatibility • Ease of Use • Affordability • Inclusiveness • Co-ownership Knowledge Representation Technical Requirements fulfilled Why Hypermedia?

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