On-To-Knowledge review Juan-Les-Pins/France, October 06, 2000 Hans Akkermans, VUA

33
On-To-Knowledge review Juan-Les-Pins/France, October 06, 2000 Hans Akkermans, VUA Hans-Peter Schnurr, AIFB Rudi Studer, AIFB York Sure, AIFB KM Methodology On-To- Knowledge

description

K M. M e thodology. On-To-Knowledge review Juan-Les-Pins/France, October 06, 2000 Hans Akkermans, VUA Hans-Peter Schnurr, AIFB Rudi Studer, AIFB York Sure, AIFB. On-To-Knowledge. WP-5 Methodology and Management Guidelines: covered issues. - PowerPoint PPT Presentation

Transcript of On-To-Knowledge review Juan-Les-Pins/France, October 06, 2000 Hans Akkermans, VUA

Page 1: On-To-Knowledge review Juan-Les-Pins/France, October 06, 2000 Hans Akkermans, VUA

On-To-Knowledge reviewJuan-Les-Pins/France, October 06, 2000

Hans Akkermans, VUA

Hans-Peter Schnurr, AIFB

Rudi Studer, AIFB

York Sure, AIFB

KMMethodology

On-To-Knowledge

Page 2: On-To-Knowledge review Juan-Les-Pins/France, October 06, 2000 Hans Akkermans, VUA

Processes

Summary

KM challenge

- Overall pic

- Feasibility

- User driven use cases- Supporting use cases

On-To-Knowledge Slide 2

- Ontology

WP-5 Methodology and Management Guidelines: covered issues

Identification of knowledge needs, opportunities and bottlenecks in focus areas of the organisation

Structured construction and validation of ontologies

User-focused introduction of KM tools

Maintenance and steady improvement of existing KM applications

Context-oriented requirements for envisaged knowledge management tools

Principled foundation for any knowledge management tool in the organisation

Knowledge pull and push instead of information overload

KM applications remain successful and useful in a changing organisational environment

Context-oriented requirements for envisaged knowledge management tools

Principled foundation for any knowledge management tool in the organisation

Knowledge pull and push instead of information overload

KM applications remain successful and useful in a changing organisational environment

Page 3: On-To-Knowledge review Juan-Les-Pins/France, October 06, 2000 Hans Akkermans, VUA

Processes

Summary

KM challenge

- Overall pic

- Feasibility

- User driven use cases- Supporting use cases

On-To-Knowledge Slide 3

- Ontology

Baseline version

Employment

& EvaluationExpansion & Revision

Final version

•Based on CommonKADS

•Literature study

•Systematization of existing practical experiences

•Employment of baseline version in the set of case studies

•Feedback on KM guidelines

•Revision and Expansion based on feedback

•General and comprehensive KM guidelines

•Practically illustrated by real-life industry cases

•Guide book

Month 17 Month 25 Month 30Month 8

WP-5 Workpackage project plan

Baseline version

Employment

& EvaluationExpansion & Revision

Final version

Page 4: On-To-Knowledge review Juan-Les-Pins/France, October 06, 2000 Hans Akkermans, VUA

Processes

Summary

KM challenge

- Overall pic

- Feasibility

- User driven use cases- Supporting use cases

On-To-Knowledge Slide 4

- Ontology

Agenda

• The Knowledge Management challenge

• Processes in a KM project– Overall picture– Feasibility study– User driven use cases– Supporting use cases– Focus: ontology development

• Summary

KM challenge

Page 5: On-To-Knowledge review Juan-Les-Pins/France, October 06, 2000 Hans Akkermans, VUA

Processes

Summary

KM challenge

- Overall pic

- Feasibility

- User driven use cases- Supporting use cases

On-To-Knowledge Slide 5

- Ontology

Usually, there is no easy, fast and guided access to knowledge

OTK offers solutions to KM access problems

Usage scenarios• Querying• Navigating• Community of

Knowledge Sharing

Benefits• Less time• Lower costs• Higher quality

Problems• Search... find?• No context, no guidance• What you get is hardly ever what you want

KM challenge

Page 6: On-To-Knowledge review Juan-Les-Pins/France, October 06, 2000 Hans Akkermans, VUA

Processes

Summary

KM challenge

- Overall pic

- Feasibility

- User driven use cases- Supporting use cases

On-To-Knowledge Slide 6

- Ontology

Example: WWW Search Engine

KM challenge

Page 7: On-To-Knowledge review Juan-Les-Pins/France, October 06, 2000 Hans Akkermans, VUA

Processes

Summary

KM challenge

- Overall pic

- Feasibility

- User driven use cases- Supporting use cases

On-To-Knowledge Slide 7

- Ontology

1. Usage Scenario: Querying for knowledge

Actual systems • WWW Search Engines

– e.g. Altavista• Intranet Search Tools

– e.g. Verity

Problems of keyword based search engines

• Too many results and often not the right ones

• Word selection matters!• Generalization / refinement not

possible

Solution: semantic querying

• Context via Ontology• Generalize / refine via Ontology• Match natural language queries into

ontological concepts• Predefined queries

KM challenge

Page 8: On-To-Knowledge review Juan-Les-Pins/France, October 06, 2000 Hans Akkermans, VUA

Processes

Summary

KM challenge

- Overall pic

- Feasibility

- User driven use cases- Supporting use cases

On-To-Knowledge Slide 8

- Ontology

Example: WWW Portals

KM challenge

Page 9: On-To-Knowledge review Juan-Les-Pins/France, October 06, 2000 Hans Akkermans, VUA

Processes

Summary

KM challenge

- Overall pic

- Feasibility

- User driven use cases- Supporting use cases

On-To-Knowledge Slide 9

- Ontology

2. Usage Scenario: Navigating

Actual systems • WWW Portals

– e.g. Yahoo!

Problems of navigating• Categorization of user differs

from systems categories• None or weak user guidance

within categorization• Missing visualization

Solution: Ontology as a guidance for navigation

• Guidance via Ontology• Individual views to knowledge• Dynamic views to knowledge• Visualization of hierarchies• Predefined queries

KM challenge

Page 10: On-To-Knowledge review Juan-Les-Pins/France, October 06, 2000 Hans Akkermans, VUA

Processes

Summary

KM challenge

- Overall pic

- Feasibility

- User driven use cases- Supporting use cases

On-To-Knowledge Slide 10

- Ontology

Example: Discussion forum

KM challenge

Page 11: On-To-Knowledge review Juan-Les-Pins/France, October 06, 2000 Hans Akkermans, VUA

Processes

Summary

KM challenge

- Overall pic

- Feasibility

- User driven use cases- Supporting use cases

On-To-Knowledge Slide 11

- Ontology

3. Usage Scenario: Community of knowledge sharing

Actual systems• Discussion forum

– e.g. Knowlity• Groupware systems

– e.g. Lotus Notes

Problems of communities• Motivation / incentives• Overhead work• None or weak

personalization features available

Solution: Integrated platform

• Organizational issues• Methodology captures users needs and

integrates them into application assembly • Embedded in work applications• Ontology-based profiling

KM challenge

Page 12: On-To-Knowledge review Juan-Les-Pins/France, October 06, 2000 Hans Akkermans, VUA

Processes

Summary

KM challenge

- Overall pic

- Feasibility

- User driven use cases- Supporting use cases

On-To-Knowledge Slide 12

- Ontology

Agenda

• The Knowledge Management challenge

• Processes in a KM project– Overall picture– Feasibility study– User driven use cases– Supporting use cases– Focus: ontology development

• Summary

Processes

Page 13: On-To-Knowledge review Juan-Les-Pins/France, October 06, 2000 Hans Akkermans, VUA

Processes

Summary

KM challenge

- Overall pic

- Feasibility

- User driven use cases- Supporting use cases

On-To-Knowledge Slide 13

- Ontology

From usage scenarios to processes: Use cases

Push services

Comm. of know. sharing

Nav. / browse KB

Querying KB

Seek knowledge

OTK toolset

Knowledgeengineer

Knowledgeprovider

Management

Assign people

Knowledgeworker

Ontology development

Maintenance

Annotation

Fill KB

Processes

- Overall pic

Page 14: On-To-Knowledge review Juan-Les-Pins/France, October 06, 2000 Hans Akkermans, VUA

Processes

Summary

KM challenge

- Overall pic

- Feasibility

- User driven use cases- Supporting use cases

On-To-Knowledge Slide 14

- Ontology

User-driven Knowledge Management processes

Processes in an OnToKnowledge KM project

Feasibility study

Querying KB

Navigate and browse

KB

Community of

Knowledge Sharing

Input to the KB

Supporting Knowledge Management processes

Processes

- Overall pic

Ontology develop-

mentMaintenance

Annotation of

documents

Fill the Knowledge

Base

Page 15: On-To-Knowledge review Juan-Les-Pins/France, October 06, 2000 Hans Akkermans, VUA

Processes

Summary

KM challenge

- Overall pic

- Feasibility

- User driven use cases- Supporting use cases

On-To-Knowledge Slide 15

- Ontology

Context Modelling with a Feasibility study

Feasibility study

Identifying problem/opportunity areas and potential solutions, and putting them into a wider organizational perspective.

Deciding about economic, technical and project feasibility, in order to select the most promising focus area and target solution

People involved

Application selection

Focus domain for ontology development

Input to KM processes

People

Knowledge assets

Processes

Processes

- Feasibility

Page 16: On-To-Knowledge review Juan-Les-Pins/France, October 06, 2000 Hans Akkermans, VUA

Processes

Summary

KM challenge

- Overall pic

- Feasibility

- User driven use cases- Supporting use cases

On-To-Knowledge Slide 16

- Ontology

CommonKADS - Context Modelling Road MapStart

OM-1worksheet:

problems, solutions, context

OM-2worksheet:

description of organi-

zation focus area

Refine

OM-5work-sheet

Judge Feasibility (Decision

Document)

OM-4worksheet

knowledge assets

OM-3worksheet

process break-down

Integrate

TM-1worksheet

task analysis

[If unfeasible]

Stop

TM-2worksheet

knowledge item

analysis

AM-1worksheet

agent model

Contextanalysis ready

[If feasible]

TM-2worksheet

knowledge item analysis

TM-2worksheet

knowledge item analysisProcesses

- Feasibility TM-2worksheet

knowledge item analysis

Focus domain for ontology development

People involved: GUI

Tool selection

Page 17: On-To-Knowledge review Juan-Les-Pins/France, October 06, 2000 Hans Akkermans, VUA

Processes

Summary

KM challenge

- Overall pic

- Feasibility

- User driven use cases- Supporting use cases

On-To-Knowledge Slide 17

- Ontology

User-driven Knowledge Management processes

Processes in an OnToKnowledge KM project

Feasibility study

Querying KB

Navigate and browse

KB

Community of

Knowledge Sharing

Input to the KB

Supporting Knowledge Management processes

Processes

- Overall pic

Ontology develop-

mentMaintenance

Annotation of

documents

Fill the Knowledge

Base

Page 18: On-To-Knowledge review Juan-Les-Pins/France, October 06, 2000 Hans Akkermans, VUA

Processes

Summary

KM challenge

- Overall pic

- Feasibility

- User driven use cases- Supporting use cases

On-To-Knowledge Slide 18

- Ontology

Querying for knowledge

• Context via Ontology• Generalize / refine via Ontology• Match natural language queries into

ontological concepts• Predefined queries

?

? ??

??

Processes

- User driven use cases

Page 19: On-To-Knowledge review Juan-Les-Pins/France, October 06, 2000 Hans Akkermans, VUA

Processes

Summary

KM challenge

- Overall pic

- Feasibility

- User driven use cases- Supporting use cases

On-To-Knowledge Slide 19

- Ontology

Example: Predefined queries

Processes

- User driven use cases

Page 20: On-To-Knowledge review Juan-Les-Pins/France, October 06, 2000 Hans Akkermans, VUA

Processes

Summary

KM challenge

- Overall pic

- Feasibility

- User driven use cases- Supporting use cases

On-To-Knowledge Slide 20

- Ontology

Ontology as a guidance for navigation

• Guidance via Ontology• Individual views to knowledge• Dynamic views to knowledge• Predefined queriesProcesses

- User driven use cases

Page 21: On-To-Knowledge review Juan-Les-Pins/France, October 06, 2000 Hans Akkermans, VUA

Processes

Summary

KM challenge

- Overall pic

- Feasibility

- User driven use cases- Supporting use cases

On-To-Knowledge Slide 21

- Ontology

Example: Guidance via Ontology

Processes

- User driven use cases

Page 22: On-To-Knowledge review Juan-Les-Pins/France, October 06, 2000 Hans Akkermans, VUA

Processes

Summary

KM challenge

- Overall pic

- Feasibility

- User driven use cases- Supporting use cases

On-To-Knowledge Slide 22

- Ontology

Example: Dynamic views to knowledge

Processes

- User driven use cases

Page 23: On-To-Knowledge review Juan-Les-Pins/France, October 06, 2000 Hans Akkermans, VUA

Processes

Summary

KM challenge

- Overall pic

- Feasibility

- User driven use cases- Supporting use cases

On-To-Knowledge Slide 23

- Ontology

Community of knowledge sharing

• Organizational issues• Methodology captures users needs and

integrates them into application assembly • Embedded in work applications• Ontology-based profiling

Processes

- User driven use cases

Page 24: On-To-Knowledge review Juan-Les-Pins/France, October 06, 2000 Hans Akkermans, VUA

Processes

Summary

KM challenge

- Overall pic

- Feasibility

- User driven use cases- Supporting use cases

On-To-Knowledge Slide 24

- Ontology

User-driven Knowledge Management processes

Processes in an OnToKnowledge KM project

Feasibility study

Querying KB

Navigate and browse

KB

Community of

Knowledge Sharing

Input to the KB

Supporting Knowledge Management processes

Processes

- Overall pic

Ontology develop-

mentMaintenance

Annotation of

documents

Fill the Knowledge

Base

Page 25: On-To-Knowledge review Juan-Les-Pins/France, October 06, 2000 Hans Akkermans, VUA

Processes

Summary

KM challenge

- Overall pic

- Feasibility

- User driven use cases- Supporting use cases

On-To-Knowledge Slide 25

- Ontology

Ontology development

Kickoff Refinement

ONTOLOGY

Evaluation Maintenance

•Requirement specification

•Analyze input sources

•Develop baseline taxonomy

•Concept elicitation with domain experts

•Conceptualize and formalize

•Add relations and axioms

•Revision and expansion based on feedback

•Analyze usage patterns

•Analyze competency questions

•Manage organizational maintenance process

- Ontology

Processes

Page 26: On-To-Knowledge review Juan-Les-Pins/France, October 06, 2000 Hans Akkermans, VUA

Processes

Summary

KM challenge

- Overall pic

- Feasibility

- User driven use cases- Supporting use cases

On-To-Knowledge Slide 26

- Ontology

Ontology development

- Ontology

Processes

Page 27: On-To-Knowledge review Juan-Les-Pins/France, October 06, 2000 Hans Akkermans, VUA

Processes

Summary

KM challenge

- Overall pic

- Feasibility

- User driven use cases- Supporting use cases

On-To-Knowledge Slide 27

- Ontology

Ontology development

- Ontology

Processes

Page 28: On-To-Knowledge review Juan-Les-Pins/France, October 06, 2000 Hans Akkermans, VUA

Processes

Summary

KM challenge

- Overall pic

- Feasibility

- User driven use cases- Supporting use cases

On-To-Knowledge Slide 28

- Ontology

Ontology refinement supported by OntoEdit

- Ontology

Processes

Page 29: On-To-Knowledge review Juan-Les-Pins/France, October 06, 2000 Hans Akkermans, VUA

Processes

Summary

KM challenge

- Overall pic

- Feasibility

- User driven use cases- Supporting use cases

On-To-Knowledge Slide 29

- Ontology

User-driven Knowledge Management processes

Processes in an OnToKnowledge KM project

Feasibility study

Querying KB

Navigate and browse

KB

Community of

Knowledge Sharing

Input to the KB

Supporting Knowledge Management processes

Processes

- Overall pic

Ontology develop-

mentMaintenance

Annotation of

documents

Fill the Knowledge

Base

Page 30: On-To-Knowledge review Juan-Les-Pins/France, October 06, 2000 Hans Akkermans, VUA

Processes

Summary

KM challenge

- Overall pic

- Feasibility

- User driven use cases- Supporting use cases

On-To-Knowledge Slide 30

- Ontology

Agenda

• The Knowledge Management challenge

• Processes in a KM project– Overall picture– Feasibility study– User driven use cases– Supporting use cases– Focus: ontology development

• SummarySummary

Page 31: On-To-Knowledge review Juan-Les-Pins/France, October 06, 2000 Hans Akkermans, VUA

Processes

Summary

KM challenge

- Overall pic

- Feasibility

- User driven use cases- Supporting use cases

On-To-Knowledge Slide 31

- Ontology

Tools vs. User-driven use cases

Inferencing Tool

Visualization Tool

QL Engine

User Interface

Knowledge Sharing Facility

Querying the KB

Navigate and browse KB

Community of knowlege sharing

Push services provided to users

Summary

Page 32: On-To-Knowledge review Juan-Les-Pins/France, October 06, 2000 Hans Akkermans, VUA

Processes

Summary

KM challenge

- Overall pic

- Feasibility

- User driven use cases- Supporting use cases

On-To-Knowledge Slide 32

- Ontology

Tools vs. Supporting use cases

Ontoedit

Inferencing Tool

Corporum

Visualization Tool

Knowledge Sharing Facility

Ontology development

Annotation

Maintenance

Fill Knowledge Base

Summary

Page 33: On-To-Knowledge review Juan-Les-Pins/France, October 06, 2000 Hans Akkermans, VUA

Processes

Summary

KM challenge

- Overall pic

- Feasibility

- User driven use cases- Supporting use cases

On-To-Knowledge Slide 33

- Ontology

Next steps

• Employment of baseline version in the set of case studies

• Feedback on KM guidelines

Summary