Über einige Visionen beim Wissensmanagement

1. Über einige Visionen beim Wissensmanagement H. Maurer, TU Graz und Know-Center Graz hmaurer@iicm.edu, www.iicm.edu/maurer 1. Konferenz „Professionelles Wissensmanagement“ Baden-Baden, 14. März 2001

2. Structure of Presentation 1. Introduction 2. Three Aspects of Knowledge Management (KM) 3. Three Views of IT-Oriented KM 3.1 The Organisational View 3.2 The eLearning View 3.3 The Societal View 4. Systemic Creation of New Knowledge 4.1 Intelligent Agents 4.2 Active Documents 4.3 Knowledge Landscapes 5. Outlook

3. 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”

4. 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

5. 3. Three Views of IT-Orientend KM 3.1 The Organisational View 3.2 The eLearning View 3.3 The Societal View

6. 3.1 The Organisational 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?

18. The communication model

19. 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

20. 3.2 The eLearning View eLearning = Knowledge Transfer (KT) ! Close relationship with KM Indeed, some say KM includes KT, others say KT includes KM!

21. 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

22. 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

23. 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!

24. 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!

25. 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!

26. 4. Systemic Creation of New Knowledge 4.1 Intelligent Agents 4.2 Active Documents 4.3 Knowledge Landscapes In this talk just a bit about 4.2 and 4.3

27. 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!

28. 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

34. 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“

35. Systemic action include e.g. “landscape generation”:looking up one entry shows landscapes of related ones:

36. 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

37. One of the pictures associated with space probes

38. 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!

39. 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: hmaurer@iicm.edu