K-Discovery: Identification of Distributed Knowledge Structures in a Process-Oriented Groupware Environment

Transcription

1 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. 100, D Paderborn, Germany Tel.: Knowledge Technologies 2001 Prof. Dr. Ludwig Nastansky Austin, Tx - March, 4 7, 2001

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

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 We live Groupware

4 Small Cases: NetFicient (1/3) Groupware-based web publishing tool Publishing of content in the organizational intranet or on the Internet No knowledge in web programming or administration needed Several database templates & predefined document types Content expiry workflow & content approval process

5 Small Cases: NetFicient (2/3)

6 Small Cases: NetFicient (3/3)

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 organizational structures and of business processes Complete Internet integration More than 15 Enterprise Office GCC

8 Small Cases: Enterprise Office (2/3)

9 Small Cases: Enterprise Office (3/3)

10 Digression: The Design of Groupwarebased Applications

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

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

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

14 The K-Discovery Architectural Model

15 Implementation Approaches (1/6)

16 Implementation Approaches (2/6)

17 Implementation Approaches (3/6) Advantages Completely implemented in the groupwarebased environment Full groupware concepts can be applied Disadvantages Too many documents for the groupware-based environment Customized LotusXSL processor

18 Implementation Approaches (4/6)

19 Implementation Approaches (5/6)

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

21 Conclusions Substantial synergies combining groupware paradigms and topic maps Continuing work on the second prototype Rules and workflows Knowledge management applications

22 Questions, Remarks and Discussion K-Discovery-Website: GCC: Stefan Smolnik University of Paderborn Business Computing 2 FB 5 Prof. Dr. Ludwig Nastansky Warburgerstr. 100 D Paderborn, Germany Tel.: