SLIDE 1
- Prof. Dr. Ludwig Nastansky
University of Paderborn Business Computing 2 – FB 5
- Prof. Dr. Ludwig Nastansky
- Warburgerstr. 100, D-33098 Paderborn, Germany
Tel.: +49-5251-603368 http://gcc.uni-paderborn.de
K-Discovery: Identification of Distributed Knowledge Structures in a Process-Oriented Groupware Environment
Stefan Smolnik – Ludwig Nastansky Knowledge Technologies 2001 Austin, Tx, March, 4 – 7, 2001
SLIDE 2 Overview
- 1. Context
- 2. Motivation / Small Cases
- 3. Using Topic Maps in Groupware-based
Environments
- 4. The K-Discovery Architectural Model
- 5. Implementation Approaches
- 6. Conclusions
K-Discovery @ KT2001
SLIDE 3
Context
Paperless office environment / virtual communities Office management Computer-based teaching and learning Coordination of projects Workflow environments Content management for the chair’s website
K-Discovery @ KT2001
“We live Groupware”
SLIDE 4 Small Cases: NetFicient (1/3)
Groupware-based web publishing tool Publishing of content in the organizational intranet
No knowledge in web programming or administration needed Several database templates & predefined document types Content expiry workflow & content approval process
K-Discovery @ KT2001
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Small Cases: NetFicient (2/3)
K-Discovery @ KT2001
SLIDE 6
Small Cases: NetFicient (3/3)
K-Discovery @ KT2001
SLIDE 7 Small Cases: Enterprise Office (1/3)
Groupware-based and process-oriented office system Integrated correspondence, office, document, workflow, knowledge and archive management Process management toolset Graphic definition, creation and maintenance of
- rganizational structures and of business processes
Complete Internet integration More than 15 Enterprise Office installations @ GCC
K-Discovery @ KT2001
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Small Cases: Enterprise Office (2/3)
K-Discovery @ KT2001
SLIDE 9
Small Cases: Enterprise Office (3/3)
K-Discovery @ KT2001
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Digression: The Design of Groupware- based Applications
K-Discovery @ KT2001
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Using Topic Maps in Groupware-based Environments (1/3)
So far: weak relations between documents by using views and categories Analysis of design elements in groupware-based applications leads to topic types and association types Forms Views Building up a semantic link network from the documents by applying topic maps
K-Discovery @ KT2001
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Using Topic Maps in Groupware-based Environments (2/3)
K-Discovery @ KT2001
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Using Topic Maps in Groupware-based Environments (3/3)
Benefits of the groupware-based environment Distributed database architecture and replication Workflow management Security and access control mechanisms Examples: Roles and groups: different tasks, steps and skills involved of managing topic maps can be modeled Workflows: publishing periods and published content can be controlled
K-Discovery @ KT2001
SLIDE 14
The K-Discovery Architectural Model
K-Discovery @ KT2001
SLIDE 15
Implementation Approaches (1/6)
K-Discovery @ KT2001
SLIDE 16
Implementation Approaches (2/6)
K-Discovery @ KT2001
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Implementation Approaches (3/6)
Advantages Completely implemented in the groupware- based environment Full groupware concepts can be applied Disadvantages Too many documents for the groupware-based environment Customized LotusXSL processor
K-Discovery @ KT2001
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Implementation Approaches (4/6)
K-Discovery @ KT2001
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Implementation Approaches (5/6)
K-Discovery @ KT2001
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Implementation Approaches (6/6)
Advantages Groupware-based configuration and management environment Full groupware concepts can be applied Enhanced performance Disadvantages Relational repository for the objects of a topic map
K-Discovery @ KT2001
SLIDE 21
Conclusions
Substantial synergies combining groupware paradigms and topic maps Continuing work on the second prototype Roles and workflows Knowledge management applications
K-Discovery @ KT2001
SLIDE 22 Questions, Remarks and Discussion
K-Discovery @ Web: http://gtm.upb.de GCC @ Web: http://gcc.upb.de
Stefan Smolnik University of Paderborn Business Computing 2 – FB 5
- Prof. Dr. Ludwig Nastansky
- Warburgerstr. 100
D-33098 Paderborn, Germany Tel.: +49-5251-603375 Email: Stefan.Smolnik@notes.upb.de K-Discovery @ KT2001