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MATURE: a dynamic perspective on ontologies




                                       Simone Braun

                             FZI Research Center for
                           Information Technologies


   http://mature-ip.eu   OntoContent-QSI Workshop 2008
                                     November 10, 2008
FP7 EU Integrated Project (04/08 – 03/12)

    Coordinator                                   Application Partners




    Research & Technology Partners




            MATURE - Continuous Social Learning in Knowledge Networks    2
Motivation


Agility of enterprises as a key success factor requires
 • Leveraging the employees‘ creativity and hands-on experience
 • Improving the sharing of knowledge within and across company
   borders
 • Support with a new form of organizational guidance


Instead of top-down approaches we need a balance of
top-down and bottom-up developments for learning
support
 • Bring together the efficiency of organizations and the
   engagement and user empowerment


                MATURE - Continuous Social Learning in Knowledge Networks   3
Knowledge Maturing Process Model




          MATURE - Continuous Social Based on Knowledge Networks and [Maier & Schmidt, 2007]
                                     Learning in [Schmidt, 2005]                           4
Knowledge Maturing Process Model




               New ideas are developed by individuals
                       From personal experiences or in highly
                       informal discussions
          MATURE - Continuous Social Learning in Knowledge Networks   5
Knowledge Maturing Process Model




              Exchange of ideas & personal experiences
                       Development of common terminology; e.g.
                       in discussion forum entries or wikis
          MATURE - Continuous Social Learning in Knowledge Networks   6
Knowledge Maturing Process Model




                 Purpose-driven structured documents are
                 created
                       e.g. project reports or process models
          MATURE - Continuous Social Learning in Knowledge Networks   7
Knowledge Maturing Process Model




                 Pedagogical preparation of the material for
                 broader dissemination
                       e.g. service instructions or manuals
          MATURE - Continuous Social Learning in Knowledge Networks   8
Knowledge Maturing Process Model




                 Individual learning objects are put together
                 to cover broader subject area
                       Subject area becomes teachable to novices
          MATURE - Continuous Social Learning in Knowledge Networks   9
Different Types of Knowledge




                                                                      process
                                                                      maturing




          MATURE - Continuous Social Learning in Knowledge Networks              10
Approach


More participation!
 • Knowledge maturing is an active & collaborative process
 • Reduce motivational, conceptual & technical barriers


Management & guidance as
 • „providing the environment & framework“
 • „gardening“




                MATURE - Continuous Social Learning in Knowledge Networks   11
Example: Competence Ontology
Development




Employees annotate each other with any topic tag
   new topic ideas emerge; e.g. describing recent/specific ones


                 MATURE - Continuous Social Learning in Knowledge Networks   12
Example: Competence Ontology
Development




A common topic terminology evolves through the collaborative
(re-)usage of the topic tags
   Topic tags are defined and refined, useless or incorrect ones are
   rejected
                 MATURE - Continuous Social Learning in Knowledge Networks   13
Example: Competence Ontology
Development




Special community members begin to organize the topic
terminology into competencies
   Introduction of relations between topic tags
    o OO-Programming <is superconcept of> Java-Programming
    o Java-Programming <is related to> C#-Programming        14
Example: Competence Ontology
Development




Adding axioms for exploiting relationships for reasoning
   especially precise generalisation & composition relationships
     o Java Programming <is a> OO Programming
     o {Java Programming Expert, AJAX Programming Beginner} <is part of> GWT-
       Programming Intermediate                                             15
SOBOLEO




          MATURE - Continuous Social Learning in Knowledge Networks   16
Tools


Personal learning environments
 • Bundling of loosely coupled tools & services into flexible tool
   boxes that support individual learning
 • Integration following the mashup paradigm
 • „personal“ and „social“


Organizational learning environments
 • Role of gardening
 • Analysis & visualization
 • Intervention




                 MATURE - Continuous Social Learning in Knowledge Networks   17
The MATURE
Vision
Objectives


an analysis of real-world maturing practices
knowledge maturing & development of a reference
model
the methodical conception of tools supporting
learning
development of reusable technical services
the accompanying, early formative evaluation of
approaches (concepts, design studies, prototypes)
with endusers



           MATURE - Continuous Social Learning in Knowledge Networks   19
MATURE




   More information on http://mature-ip.eu

           MATURE - Continuous Social Learning in Knowledge Networks   20

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Mature - a dynamic perspective on ontologies

  • 1. MATURE: a dynamic perspective on ontologies Simone Braun FZI Research Center for Information Technologies http://mature-ip.eu OntoContent-QSI Workshop 2008 November 10, 2008
  • 2. FP7 EU Integrated Project (04/08 – 03/12) Coordinator Application Partners Research & Technology Partners MATURE - Continuous Social Learning in Knowledge Networks 2
  • 3. Motivation Agility of enterprises as a key success factor requires • Leveraging the employees‘ creativity and hands-on experience • Improving the sharing of knowledge within and across company borders • Support with a new form of organizational guidance Instead of top-down approaches we need a balance of top-down and bottom-up developments for learning support • Bring together the efficiency of organizations and the engagement and user empowerment MATURE - Continuous Social Learning in Knowledge Networks 3
  • 4. Knowledge Maturing Process Model MATURE - Continuous Social Based on Knowledge Networks and [Maier & Schmidt, 2007] Learning in [Schmidt, 2005] 4
  • 5. Knowledge Maturing Process Model New ideas are developed by individuals From personal experiences or in highly informal discussions MATURE - Continuous Social Learning in Knowledge Networks 5
  • 6. Knowledge Maturing Process Model Exchange of ideas & personal experiences Development of common terminology; e.g. in discussion forum entries or wikis MATURE - Continuous Social Learning in Knowledge Networks 6
  • 7. Knowledge Maturing Process Model Purpose-driven structured documents are created e.g. project reports or process models MATURE - Continuous Social Learning in Knowledge Networks 7
  • 8. Knowledge Maturing Process Model Pedagogical preparation of the material for broader dissemination e.g. service instructions or manuals MATURE - Continuous Social Learning in Knowledge Networks 8
  • 9. Knowledge Maturing Process Model Individual learning objects are put together to cover broader subject area Subject area becomes teachable to novices MATURE - Continuous Social Learning in Knowledge Networks 9
  • 10. Different Types of Knowledge process maturing MATURE - Continuous Social Learning in Knowledge Networks 10
  • 11. Approach More participation! • Knowledge maturing is an active & collaborative process • Reduce motivational, conceptual & technical barriers Management & guidance as • „providing the environment & framework“ • „gardening“ MATURE - Continuous Social Learning in Knowledge Networks 11
  • 12. Example: Competence Ontology Development Employees annotate each other with any topic tag new topic ideas emerge; e.g. describing recent/specific ones MATURE - Continuous Social Learning in Knowledge Networks 12
  • 13. Example: Competence Ontology Development A common topic terminology evolves through the collaborative (re-)usage of the topic tags Topic tags are defined and refined, useless or incorrect ones are rejected MATURE - Continuous Social Learning in Knowledge Networks 13
  • 14. Example: Competence Ontology Development Special community members begin to organize the topic terminology into competencies Introduction of relations between topic tags o OO-Programming <is superconcept of> Java-Programming o Java-Programming <is related to> C#-Programming 14
  • 15. Example: Competence Ontology Development Adding axioms for exploiting relationships for reasoning especially precise generalisation & composition relationships o Java Programming <is a> OO Programming o {Java Programming Expert, AJAX Programming Beginner} <is part of> GWT- Programming Intermediate 15
  • 16. SOBOLEO MATURE - Continuous Social Learning in Knowledge Networks 16
  • 17. Tools Personal learning environments • Bundling of loosely coupled tools & services into flexible tool boxes that support individual learning • Integration following the mashup paradigm • „personal“ and „social“ Organizational learning environments • Role of gardening • Analysis & visualization • Intervention MATURE - Continuous Social Learning in Knowledge Networks 17
  • 19. Objectives an analysis of real-world maturing practices knowledge maturing & development of a reference model the methodical conception of tools supporting learning development of reusable technical services the accompanying, early formative evaluation of approaches (concepts, design studies, prototypes) with endusers MATURE - Continuous Social Learning in Knowledge Networks 19
  • 20. MATURE More information on http://mature-ip.eu MATURE - Continuous Social Learning in Knowledge Networks 20