Conceptual Foundations for a Service-Oriented Knowledge & Learning Architecture: Supporting Content, Process, and Ontology...
Outline <ul><li>Motivation </li></ul><ul><ul><li>why we need a service-oriented knowledge & learning architecture  </li></...
Motivation
Motivation <ul><li>Agility of enterprises as a key success factor requires </li></ul><ul><ul><li>Leveraging the employees‘...
The MATURE Vision
Need for service-oriented infrastructure <ul><li>Such mashup toolsets like the PLME and OLME have to be flexible and exten...
MATURE - Continuous Social Learning in Knowledge Networks http://mature-ip.eu Conceptual Foundations
Knowledge Maturing Process Model MATURE - Continuous Social Learning in Knowledge Networks Based on [Schmidt, 2005] and [M...
Knowledge Maturing Process Model (2) MATURE - Continuous Social Learning in Knowledge Networks content maturing ontology m...
Seeding – Evolutionary Growth - Reseeding <ul><li>Model for design processes in communities by Fischer </li></ul><ul><li>S...
MATURE - Continuous Social Learning in Knowledge Networks Implications on  the service architecture
Maturing Services <ul><li>We need services that </li></ul><ul><ul><li>Interconnect different tools for different types of ...
Maturing Services: Seeding Service <ul><li>enable the user to set up and  initialize   knowledge units and structures with...
Maturing Services: Growth Services <ul><li>Allows users </li></ul><ul><ul><li>to add new knowledge units (e.g. documents o...
Maturing Services: Reseeding Services <ul><li>allow the user  </li></ul><ul><ul><li>to analyse and visualize the collectiv...
Conclusions <ul><li>Maturing services enable the creation of learning environments as a set of loosely coupled tools. </li...
MATURE <ul><li>More information on http://mature-ip.eu </li></ul>MATURE - Continuous Social Learning in Knowledge Networks
Upcoming SlideShare
Loading in …5
×

Conceptual Foundations for a Knowledge & Learning Architecture: Supporting Content, Process, and Ontology Maturing

1,945 views
1,820 views

Published on

Presentation at the International Conference on Knowledge Management (I-KNOW 08), part of TRIPLE-I 08, September 3, 2008, Graz, Austria

Conceptual model of the MATURE IP

Published in: Technology, Education, Business
0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total views
1,945
On SlideShare
0
From Embeds
0
Number of Embeds
31
Actions
Shares
0
Downloads
0
Comments
0
Likes
1
Embeds 0
No embeds

No notes for slide

Conceptual Foundations for a Knowledge & Learning Architecture: Supporting Content, Process, and Ontology Maturing

  1. 1. Conceptual Foundations for a Service-Oriented Knowledge & Learning Architecture: Supporting Content, Process, and Ontology Maturing Andreas Schmidt Knut Hinkelmann Stefanie Lindstaedt Tobias Ley Ronald Maier Uwe Riss http://mature-ip.eu I-KNOW 2008 Special Track on Knowledge Services September 3, 2008
  2. 2. Outline <ul><li>Motivation </li></ul><ul><ul><li>why we need a service-oriented knowledge & learning architecture </li></ul></ul><ul><li>Conceptual foundations </li></ul><ul><ul><li>Knowledge maturing process model </li></ul></ul><ul><ul><li>Seeding-Evolutionary Growth-Reseeding model </li></ul></ul><ul><li>Implications </li></ul><ul><ul><li>Maturing services: seeding, growth, reseeding </li></ul></ul><ul><li>Conclusions </li></ul>MATURE - Continuous Social Learning in Knowledge Networks
  3. 3. Motivation
  4. 4. Motivation <ul><li>Agility of enterprises as a key success factor requires </li></ul><ul><ul><li>Leveraging the employees‘ creativity and hands-on experience </li></ul></ul><ul><ul><li>Improving the sharing of knowledge within and across company borders </li></ul></ul><ul><ul><li>Support with a new form of organizational guidance </li></ul></ul><ul><li>Instead of top-down approaches we need a balance of top-down and bottom-up developments for learning support </li></ul><ul><ul><li>Bring together the efficiency of organizations and the engagement and user empowerment </li></ul></ul>MATURE - Continuous Social Learning in Knowledge Networks
  5. 5. The MATURE Vision
  6. 6. Need for service-oriented infrastructure <ul><li>Such mashup toolsets like the PLME and OLME have to be flexible and extensible </li></ul><ul><li>This will only work with a service-oriented infrastructure that provides basic and rather generic functionality </li></ul><ul><li>But how should such an infrastructure look like? What are conceptual foundations? </li></ul>MATURE - Continuous Social Learning in Knowledge Networks
  7. 7. MATURE - Continuous Social Learning in Knowledge Networks http://mature-ip.eu Conceptual Foundations
  8. 8. Knowledge Maturing Process Model MATURE - Continuous Social Learning in Knowledge Networks Based on [Schmidt, 2005] and [Maier & Schmidt, 2007]
  9. 9. Knowledge Maturing Process Model (2) MATURE - Continuous Social Learning in Knowledge Networks content maturing ontology maturing (incl. competencies) process maturing
  10. 10. Seeding – Evolutionary Growth - Reseeding <ul><li>Model for design processes in communities by Fischer </li></ul><ul><li>Seeding </li></ul><ul><li>Evolutionary Growth </li></ul><ul><li>Reseeding </li></ul>MATURE - Continuous Social Learning in Knowledge Networks
  11. 11. MATURE - Continuous Social Learning in Knowledge Networks Implications on the service architecture
  12. 12. Maturing Services <ul><li>We need services that </li></ul><ul><ul><li>Interconnect different tools for different types of knowledge assets </li></ul></ul><ul><ul><li>Support the flow between the different levels </li></ul></ul><ul><li>We call such services maturing services . </li></ul>MATURE - Continuous Social Learning in Knowledge Networks
  13. 13. Maturing Services: Seeding Service <ul><li>enable the user to set up and initialize knowledge units and structures within a community </li></ul><ul><ul><li>associative network based on document similarities </li></ul></ul><ul><ul><li>user models based on social network analysis </li></ul></ul><ul><ul><li>recommendation based on user model and associative network </li></ul></ul>MATURE - Continuous Social Learning in Knowledge Networks
  14. 14. Maturing Services: Growth Services <ul><li>Allows users </li></ul><ul><ul><li>to add new knowledge units (e.g. documents or users), </li></ul></ul><ul><ul><li>to adapt their characteristics (e.g. the users’ competencies) </li></ul></ul><ul><ul><li>to provide comments </li></ul></ul><ul><ul><li>to change the system behaviour. </li></ul></ul><ul><li>based on the Web2.0 paradigm </li></ul><ul><ul><ul><li>User-generated content </li></ul></ul></ul><ul><ul><ul><li>Exploiting collective usage data </li></ul></ul></ul>MATURE - Continuous Social Learning in Knowledge Networks
  15. 15. Maturing Services: Reseeding Services <ul><li>allow the user </li></ul><ul><ul><li>to analyse and visualize the collective activities of the community </li></ul></ul><ul><ul><li>to negotiate between conceptualizations of different users and </li></ul></ul><ul><ul><li>to change the underlying structures and functionalities . </li></ul></ul>MATURE - Continuous Social Learning in Knowledge Networks
  16. 16. Conclusions <ul><li>Maturing services enable the creation of learning environments as a set of loosely coupled tools. </li></ul><ul><li>The knowledge maturing process model </li></ul><ul><ul><li>structures the learning landscape (from informal to formal) and </li></ul></ul><ul><ul><li>focuses on the dynamics, the interaction and transitions between different forms of learning and knowledge. </li></ul></ul><ul><li>The SER model inspires types of system invention </li></ul><ul><li>The approach </li></ul><ul><ul><li>create a flexible and dynamic knowledge and learning architecture </li></ul></ul><ul><ul><li>combines bottom-up, end-user driven activities with organizational guidance. </li></ul></ul>MATURE - Continuous Social Learning in Knowledge Networks
  17. 17. MATURE <ul><li>More information on http://mature-ip.eu </li></ul>MATURE - Continuous Social Learning in Knowledge Networks

×