K-Discovery: Identification of Distributed Knowledge Structures in a - - PowerPoint PPT Presentation

k discovery identification of distributed knowledge
SMART_READER_LITE
LIVE PREVIEW

K-Discovery: Identification of Distributed Knowledge Structures in a - - PowerPoint PPT Presentation

K-Discovery: Identification of Distributed Knowledge Structures in a Process-Oriented Groupware Environment Stefan Smolnik Ludwig Nastansky University of Paderborn Business Computing 2 FB 5 Prof. Dr. Ludwig Nastansky Warburgerstr.


slide-1
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
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
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
SLIDE 4

Small Cases: NetFicient (1/3)

Groupware-based web publishing tool Publishing of content in the organizational intranet

  • r on the Internet

No knowledge in web programming or administration needed Several database templates & predefined document types Content expiry workflow & content approval process

K-Discovery @ KT2001

slide-5
SLIDE 5

Small Cases: NetFicient (2/3)

K-Discovery @ KT2001

slide-6
SLIDE 6

Small Cases: NetFicient (3/3)

K-Discovery @ KT2001

slide-7
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

slide-8
SLIDE 8

Small Cases: Enterprise Office (2/3)

K-Discovery @ KT2001

slide-9
SLIDE 9

Small Cases: Enterprise Office (3/3)

K-Discovery @ KT2001

slide-10
SLIDE 10

Digression: The Design of Groupware- based Applications

K-Discovery @ KT2001

slide-11
SLIDE 11

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

slide-12
SLIDE 12

Using Topic Maps in Groupware-based Environments (2/3)

K-Discovery @ KT2001

slide-13
SLIDE 13

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
SLIDE 14

The K-Discovery Architectural Model

K-Discovery @ KT2001

slide-15
SLIDE 15

Implementation Approaches (1/6)

K-Discovery @ KT2001

slide-16
SLIDE 16

Implementation Approaches (2/6)

K-Discovery @ KT2001

slide-17
SLIDE 17

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

slide-18
SLIDE 18

Implementation Approaches (4/6)

K-Discovery @ KT2001

slide-19
SLIDE 19

Implementation Approaches (5/6)

K-Discovery @ KT2001

slide-20
SLIDE 20

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
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
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