Über einige Visionen beim Wissensmanagement H. Maurer, TU Graz und Know-Center Graz...
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Transcript of Über einige Visionen beim Wissensmanagement H. Maurer, TU Graz und Know-Center Graz...
Über einige Visionen beim Wissensmanagement
H. Maurer, TU Graz und Know-Center Graz
[email protected], www.iicm.edu/maurer
1. Konferenz
„Professionelles Wissensmanagement“
Baden-Baden, 14. März 2001
Structure of Presentation
1. Introduction
2. Three Aspects of Knowledge Management (KM)
3. Three Views of IT-Oriented KM3.1 The Organisational View3.2 The eLearning View3.3 The Societal View
4. Systemic Creation of New Knowledge
4.1 Intelligent Agents4.2 Active Documents4.3 Knowledge Landscapes
5. Outlook
1. Introduction
Danger: KM seen as new buzz word with negative connotation
This talk: Some visions and some achievements that show that KM is more than “Old wine in new bottles”
2. Three Major Elements of Knowledge Management
--- Knowledge Assessment(prime example: Scandia; prime technique: balanced score cards) --- Organisational Measures(including psychological/motivational techniques, incentive methods and introduction before using SW)--- Information Technology Oriented Techniques(usually a heterogeneous combination of QA, staging, KT, DB, System and other techniques)
This talk concentrates only on third aspect
3. Three Views of IT-Orientend KM
3.1 The Organisational View
3.2 The eLearning View
3.3 The Societal View
Knowledge Management:
“If our employees only knew what our employees know we would be a much better organisation.”
Challenge: Collect unobtrusively as much knowledge from persons into computer system; make knowledge easily available.
How can we gather “collective knowledge” of a group?
3.1 The Organisational View
The communication model
Features of Hyperwave support Knowledge Management:
– Four interwoven information retrieval paradigms (directories, links, attributes, searches)
– Automated link- and data management
– User administration and authorization classes
– Annotations, discussion forums, version control
– ... and much more
3.2 The eLearning View
eLearning = Knowledge Transfer (KT) !
Close relationship with KM
Indeed, some say KM includes KT, others say KT
includes KM!
Modern eLearning: more than WWW pages!
- Requires solid “learning platform”
- User profile defines sequence of multimedia/ interactive modules to be offered
- Rich body of background knowledge with systemic growth
- Strong communicational and collaborational features
- Good statistical, feedback and administrative features
Hyperwave‘s eLS (eLearning Suite): good example!
eLS : free for non-commercial school and university use
www.HAUP.org
www.hyperwave.de or www.hyperwave.com
3.3 The Societal View
Primitive (cave men) culture:Everyone could do almost everything
Continous historic development: Production more and more distributed
Today: Production completely distributed
(„arbeitsteilig“) yet access is universal!
Primitive (cave men) culture:everyone knew almost everything
Continuous historic development: knowledge more and more distributed
Today: knowledge very distributed, but access gets easier
Future:knowledge totally distributed („wissensteilig“) yet access is universal!
Consequence
- Individual knowledge supplementd by huge pool of knowledge
- Complex knowledge used like complex machinery
- Humans as individuals stop to exist: More and more cells of a new living being: humanity!
4. Systemic Creation of New Knowledge
4.1 Intelligent Agents
4.2 Active Documents4.3 Knowledge Landscapes
In this talk just a bit about 4.2 and 4.3
4.2 Active Documents
Main observation: Communication in KM and eLearning of paramount importance.
However: Communication not only human – human but also human – document!!!
Vision: Any document on the screen – any question can be asked. Document answers the question!
Is this a Science Fiction vision? Not really!
Implementation of Active Document concept:
Use the fact that many users look at same page!
Problem is reduced to:
When are different questions x and y semantically identical
Trick 1: Location specific FAQ
Trick 2: Fuzzy comparison
Trick 3: Restricted syntax and area-specific semantic network
4.3 Knowledge Landscapes
- Automatic generation of clusters of information using “similarity” of documents
- Important for any set of documents including discussion forums, etc.
- Can lead to automatically generated “knowledge landscapes”
- Typical application: Germany‘s largest electronic multimedia encyclopedia „Der Brockhaus – Multimedial 2001 Premium“
Systemic action include e.g. “landscape generation”:looking up one entry shows landscapes of related ones:
Klicking in the landscape generated by “space exploration” on “space probes” has lead us to this contribution – with a new information landscape and pictures of e.g. one of the space probes
One of the pictures associated with space probes
5. Outlook
- KM does not just increase efficiency of organisations
- KM is not just essential for eLearning
- KM will change fabric of our lives and society
We are just seeing the first steps: conferences like this and the I-KNOW conference July 12/13 at Graz/Austria are important further steps forward!
Thank you for your attention.
H. Maurer
Important URL‘s:
www.haup.org
www.hyperwave.de
www.know-center.at/en/conference
www.iicm.edu/maurer
email: [email protected]